Governance Analyst Jobs in Bengaluru

SEO Content Writer Location: Bengaluru Type: Full-Time Experience: 3+ Years Role Overview We are looking for a strategic SEO Content Writer to take full ownership of content planning, execution, and distribution. You will bridge the gap between creative storytelling and SEO data, optimizing content through experimentation to drive organic growth and ensure brand consistency across all digital channels. Core Writing Expertise: Long-Form Mastery: 3+ years of experience crafting high-quality blogs, landing pages, and website copy. B2C/D2C Marketing: Proven track record in creating SEO-friendly content that resonates with individual consumers. Domain Knowledge: Deep familiarity with the Study Abroad industry; comfortable editing and writing on complex international education topics. Technical & SEO Skills: SEO Tools: Proficiency in Keyword Research; experience with Semrush is a significant plus. Content CMS & Design: Hands-on experience with WordPress, Grammarly, and Canva. Data-Driven Mindset: Ability to analyze performance metrics and iterate content based on results. Key Responsibilities Strategy Execution: Lead content initiatives that align with SEO goals and broader business objectives. Performance Optimization: Conduct content experiments and refine strategies to enhance conversion and reach. Brand Governance: Establish and maintain content guidelines to ensure a consistent voice across all touchpoints. Cross-Functional Collaboration: Partner with SEO analysts, designers, and SMEs to deliver high-impact long-form content under tight deadlines. Behavioral Traits Problem Solver: Ability to navigate complex content challenges and deliver measurable results. Agile & Proactive: A team player who can pivot based on industry trends and organizational needs. Effective Communicator: Provides clear feedback and collaborates efficiently across diverse departments. Bonus Points Experience in International Education or a global-focused content team. Advanced understanding of Organic Traffic drivers and search engine algorithm trends.

Analytics Engineer Location: Bengaluru Work Type: Full-Time About Postman Postman is the world s leading API platform, used by over 40 million developers and 500,000 organizations, including 98% of the Fortune 500. Our mission is to build an API-first world, simplifying every step of the API lifecycle and enabling teams to create better APIs, faster. Founded in Bengaluru, Postman is headquartered in San Francisco, with offices in Boston, New York, and Bengaluru. We are privately held, backed by Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. The Opportunity We are seeking an Analytics Engineer to join our Data Team and help strengthen the foundation of our modern data stack. In this role, you will own critical transformation pipelines, design scalable data models, and ensure that our analytics environment is performant, reliable, and future-ready. You will operate with a high degree of independence, driving projects from design through production, while implementing best practices in dbt, semantic layers, medallion architecture, and lakehouse paradigms. Key Responsibilities Take ownership of large portions of our dbt project (3k+ models), ensuring scalability, maintainability, and adherence to best practices. Design and implement robust data models, including dimensional modeling, incremental strategies, and Slowly Changing Dimensions (SCDs). Establish and enforce dbt test coverage, automated quality checks, and CI/CD pipeline standards using GitHub Actions. Profile and optimize SQL queries and warehouse performance for efficiency and cost reduction. Build and refine our semantic layer, ensuring consistent business logic across Looker, Redash, and downstream tools. Collaborate with analysts and business partners to define metrics and deliver self-serve data assets. Document models, lineage, and transformation logic to make data discoverable and usable across the company. Contribute to shaping team standards and playbooks, collaborating with analysts on modeling and transformation best practices. Stay ahead of modern data stack innovations, including dbt metrics layer, universal semantic layers, data contracts, and observability. Enabling Self-Serve Analytics & AI Build transformations that empower business stakeholders and analysts to explore data confidently. Ensure metric definitions are consistent, discoverable, and reusable across BI tools. Prepare clean, structured, and accessible datasets for AI-driven initiatives like conversational analytics and anomaly detection. Partner with Data Science & ML teams to provide reliable pipelines that accelerate experimentation and AI/ML deployment. About You 3 5 years of experience in analytics engineering roles. Advanced SQL skills (query optimization, performance tuning). Strong proficiency in dbt Core: models, macros, snapshots, sources, and custom materializations. Solid background in data modeling techniques (Kimball, SCD handling, incremental pipelines). Practical experience with semantic layers and BI integration (LookML, dbt metrics, or equivalent). Familiarity with Medallion architecture and modern lakehouse approaches. Hands-on experience with Redshift; exposure to Databricks is a plus. Proficiency with GitHub and CI/CD pipelines for analytics code. Strong fundamentals in data quality, governance, and lineage tracking. Flexible schedule with a hybrid work model. Full medical coverage, flexible PTO, wellness reimbursement, and monthly lunch stipend. Access to wellness programs, team-building events, and donation-matching initiatives. An inclusive, collaborative culture where everyone can thrive and grow. Our Values Curiosity: Explore and innovate fearlessly. Transparency: Communicate openly about successes and failures. Focus: Set clear goals aligned with a bold vision. Inclusion: Every voice matters. Excellence: Deliver the best products and experiences together.

Business Analyst Location: Bengaluru Employment Type: Full-Time About Zolve Welcome to the financial frontier of limitless possibilities welcome to Zolve. We're not just a fintech company we're reimagining global finance. As the world s first cross-border neo-bank, Zolve empowers global citizens, migrants, and nomads to access credit and financial services in their new country based on their home country credit profile. With products like checking accounts, credit cards, loans, remittances, and insurance, Zolve is eliminating borders in banking helping people be financially free and pursue their ambitions wherever they are. As we expand into new geographies and product lines, we re looking for a Business Analyst to help us drive data-backed decisions and create meaningful impact across our business. About the Role As a Business Analyst at Zolve, you ll act as a critical link between business stakeholders and technical teams. Your role will involve analyzing complex data, generating insights, and presenting actionable recommendations that support decision-making across the organization. You ll collaborate cross-functionally with product, growth, engineering, and leadership teams to shape the future of our cross-border financial solutions. Key Responsibilities Data Analysis & Insights Query, manipulate, and analyze large datasets using SQL and Python Identify trends, patterns, and anomalies to uncover business opportunities and risks Deliver actionable insights that influence product, growth, and strategy decisions Data Visualization & Storytelling Translate data into compelling narratives through dashboards, reports, and visualizations Build and maintain dashboards using tools like Tableau, Power BI, Metabase, etc. Stakeholder Collaboration Work closely with business, product, and engineering teams to gather requirements and define analytical solutions Communicate findings clearly and effectively to both technical and non-technical audiences Data Quality & Governance Ensure the accuracy, integrity, and consistency of data through validation and quality checks Partner with data engineering to improve data infrastructure and reporting capabilities Integration & Automation Build and maintain scripts to integrate data between internal systems and third-party platforms Support automation of recurring reporting and analytics processes Qualifications Education & Experience Bachelor's degree in a relevant field (Engineering, Mathematics, Economics, Business, etc.) 3+ years of experience as a Business Analyst, Data Analyst, or in a similar analytical role Technical Skills Strong proficiency in SQL and Python for data extraction and analysis Advanced Excel skills including pivot tables, lookups, and complex formulas Experience with data visualization tools such as Tableau, Power BI, or Metabase Preferred Qualifications Experience in data modeling and database design Exposure to statistical methods and predictive analytics Domain experience in fintech, e-commerce, or healthcare is a plus What You'll Love at Zolve Mission-driven work that makes a global impact Fast-paced, startup environment with real ownership and responsibility Collaborate with smart, ambitious, and kind teammates Opportunity to grow with a rapidly expanding fintech company Qualification : Bachelor's degree in a relevant field (Engineering, Mathematics, Economics, Business, etc)

Job Title: Manager - Data Analytics, Credit Card Portfolios Location: Bangalore Employment Type: Full-time About Zeta: Zeta is a next-gen banking technology company empowering banks and fintechs to build the future of financial products. Founded in 2015 by Bhavin Turakhia and Ramki Gaddipati, Zeta s flagship platform Zeta Tachyon is a cloud-native, fully API-enabled banking stack powering issuance, processing, lending, core banking, fraud & risk, and more. Over 20 million cards have been issued globally through our platform. With 1,700+ employees across the US, EMEA, and Asia and 70%+ in R&D, Zeta is backed by SoftBank, Mastercard, and others, having raised $330M at a $2B valuation in 2025. We work with leading banks and fintechs worldwide to transform multi-million card portfolios. Role Overview: We are looking for a strategic and experienced Manager - Data Analytics to lead business intelligence and enterprise reporting for global fintech portfolios including Credit Cards, Deposits, and other financial products. This role involves managing a team of analysts, leveraging multiple data lakes and warehouses, and building a scalable, comprehensive reporting framework for diverse markets including the US, UK, and India. Key Responsibilities: Enterprise Reporting & Data Architecture: Design and maintain end-to-end reporting across the customer lifecycle: acquisition, activation, usage, delinquency, collections, retention, operations, and support. Deliver accurate analysis of key financial KPIs: revenue, profitability, credit risk, defaults, acquisition cost. Build dashboards, self-service BI tools, and automated pipelines using Apache Superset, Metabase, Tableau. Optimize data storage and reporting for scalability and cost-efficiency. Data Integration & Analytics Execution: Collaborate with vendors and internal engineering to integrate data from credit bureaus, open banking, core banking, card and payment processors, loan origination, CCaaS, and aggregators into a centralized Data Lake. Business Intelligence & Growth: Lead analytics projects to uncover user behavior, optimize acquisition channels, underwriting, and portfolio performance via segmentation, cohort, and funnel analyses. Partner with Product and Marketing teams to evaluate experiments (A/B testing) and guide roadmap decisions. Leadership: Build, mentor, and lead a high-performing team of BI analysts and data visualization experts. Data Governance: Establish and enforce data governance best practices, ensuring compliance and data security. Skills & Experience: Expert in BI tools such as Apache Superset, Metabase, Tableau; strong SQL skills. Familiarity with cloud data platforms like Snowflake, Redshift, BigQuery. Deep knowledge of credit and fintech KPIs: acquisition, credit decisioning, delinquency, repayment, charge-offs, profitability, RoA, CLTV, etc. Proven leadership experience managing analytics teams and scaling reporting infrastructures. Excellent communication skills with the ability to translate complex data into business strategies. Knowledge of data governance, privacy, and security in financial services. Qualifications: 10+ years in Business Intelligence/Analytics with 3+ years in the credit card industry. 3+ years managing teams of analysts or data professionals. Bachelor s degree in Computer Science, Engineering, Statistics, or a related field. Equal Opportunity: Zeta celebrates diversity and is an equal opportunity employer. We are committed to fostering an inclusive environment and encourage candidates from all backgrounds to apply. Qualification : Bachelors degree in Computer Science, Engineering, Statistics, or a related field

Job Title: Senior Manager Data Science, Data Modelling & Analytics Location: Bengaluru Department: Insights & Analysis About the Role: As a Senior Manager, you will lead a team of data scientists and analysts, driving the development and deployment of advanced analytics solutions that enable data-driven decision-making. This role blends strategic leadership with hands-on technical expertise, playing a critical part in delivering impactful insights and analytics across the organization. Key Responsibilities: Hands-On Technical Contribution: Design, develop, and deploy advanced machine learning models and statistical analyses to address complex business challenges. Utilize Python, R, SQL, and other tools to manipulate data and build predictive models. Manage end-to-end data pipelines including collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on analytics solutions and metrics aligned with business needs. Team Leadership & Development: Lead, mentor, and manage a team of data scientists and analysts, fostering collaboration and innovation. Guide career development, conduct performance evaluations, and promote skill enhancement. Encourage continuous learning and adoption of best practices in data science methodologies. Strategic Planning & Execution: Collaborate with senior leadership to define and execute data science strategy aligned with business goals. Identify and prioritize high-impact analytics projects that deliver business value. Ensure timely and quality delivery of analytics solutions balancing scope and resources. Client Engagement & Stakeholder Management: Act as primary point of contact for clients, translating business challenges into data science solutions. Lead client presentations, workshops, and discussions, effectively communicating complex analytical concepts. Build and maintain strong client relationships, managing expectations and deliverables. Deliver regular reports and dashboards to senior management and stakeholders. Bridge communication between technical teams and business units to align analytics initiatives with organizational objectives. Cross-Functional Collaboration: Work closely with Business Intelligence, Market Analytics, and Data Engineering teams to integrate analytics into business processes. Translate complex insights into actionable recommendations for non-technical stakeholders. Facilitate data-driven workshops and presentations across the organization. Collaborate with support functions to provide timely leadership updates on operational metrics. Governance & Compliance: Ensure compliance with data governance policies and data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical analytics use. Stay abreast of industry trends and regulatory changes affecting data analytics. Qualifications: Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience: 12+ years in advanced analytics, data science, data modelling, machine learning, or related fields. 5+ years in leadership roles managing analytics teams and projects. Experience in BFSI, Hi-Tech, Retail, or Healthcare industries preferred. Experience with media data is a plus. Technical Skills: Proficiency in Python, R, SQL. Experience with data visualization tools like Tableau, Power BI. Familiarity with big data platforms (Hadoop, Spark) and cloud services (AWS, GCP, Azure). Strong knowledge of machine learning frameworks and libraries. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Ability to influence and drive organizational change. Strategic thinker focused on business outcomes. Desirable Expertise: Advanced Analytics Techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression, time series forecasting, classification, market mix modelling. Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: NLP, sentiment analysis. Machine Learning Techniques: Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting, SVMs. Unsupervised Learning: Clustering, PCA, anomaly detection. Reinforcement Learning: Q-learning, deep Q-networks. Generative AI & Large Language Models (Good to Have): Experience with GPT, Gemini, LLAMA, etc. for text generation, summarization, conversational agents. Hyperparameter tuning, prompt engineering, embeddings, fine-tuning. Additional Skills: Proficiency with Tableau or Power BI (advanced visualization). Strong data management, structuring, and harmonization skills.

Position Title: Senior Data Engineer Databricks, PySpark, Cloud Platforms Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is looking for a Senior Data Engineer to join our advanced analytics team in Bengaluru. In this role, you will architect and build scalable, high-performance data pipelines that power data science, analytics, and business intelligence initiatives. You ll work with modern tools including Databricks, PySpark, and cloud data platforms, while collaborating across teams to ensure high-quality, secure, and efficient data solutions. Key Responsibilities Design, develop, and maintain large-scale, secure, and efficient data pipelines using Databricks, PySpark, and cloud-native tools. Partner with data scientists, analysts, and business stakeholders to translate requirements into robust data solutions. Integrate data from various structured, semi-structured, and streaming sources. Ensure high standards for data quality, performance optimization, security, and cost efficiency. Drive data pipeline automation, orchestration, and monitoring using tools like Airflow. Lead troubleshooting efforts, performance tuning, and enhancements of existing pipelines. Stay informed about emerging data technologies and recommend adoption where relevant. Technical Skills Core Expertise Programming: Python (expert), SQL (advanced), PySpark. Platforms: Databricks (clusters, notebooks, workflows), AWS/Azure/GCP. Data Orchestration: Apache Airflow (or similar). Data Warehousing: Snowflake (preferred), data modeling, ETL/ELT pipelines. Streaming: Kafka or other stream processing tools. DevOps: CI/CD (GitLab CI, Jenkins), version control (Git), containerization (Docker/Kubernetes preferred). Security: Familiarity with encryption, access controls, and compliance best practices. Experience 8+ years of experience in data engineering or related roles. Proven expertise in developing and deploying scalable data pipelines using Databricks, PySpark, and SQL. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Strong background in data warehousing, especially with Snowflake. Exposure to real-time data processing and orchestration tools. Experience implementing CI/CD pipelines for data workflows is a plus. Daily Responsibilities Build and optimize data ingestion, transformation, and storage workflows. Collaborate with cross-functional teams to align data solutions with business objectives. Monitor, troubleshoot, and continuously improve pipeline performance. Conduct data quality checks, ensure governance and compliance standards. Contribute to technical documentation, code reviews, and team knowledge sharing. Qualifications Bachelor s or Master s degree in Computer Science, IT, or related field. Relevant certifications (e.g., Databricks Certified Data Engineer, AWS Certified Data Analytics) are preferred. Professional Competencies Strong problem-solving and analytical mindset. Effective communicator with ability to collaborate across technical and non-technical teams. Time management and prioritization skills under tight deadlines. Proactive leadership and a passion for innovation. Commitment to ethical data use and data security. Diversity & Inclusion at Synechron Synechron is committed to building an inclusive, diverse, and equitable workplace. Through our global Same Difference DEI initiative, we celebrate and support people from all backgrounds, including race, gender, sexual orientation, religion, age, disability, and more. We offer flexible work arrangements, continuous learning, internal mobility, and mentoring programs to support every employee s growth. Qualification : Bachelors or Masters degree in Computer Science, IT, or related field

Lead Sales Data Operations Location: Bangalore, India (On-site) About Rubrik Rubrik is the fastest-growing enterprise startup in Silicon Valley, revolutionizing cloud data management. Following our IPO in April 2024, we reached $1B ARR with 38% YoY growth as of Q3 2025. Leveraging AI and cutting-edge technology, we solve complex challenges to drive innovation and efficiency across sales and beyond. About the Role Rubrik is seeking a proactive and detail-oriented Sales Data Operations Lead to oversee and elevate data management practices within our Bangalore office. This leadership role will involve managing a team of Data Operations Analysts, driving data governance initiatives, and exploring AI-powered solutions to enhance data quality and operational efficiency. If you thrive in a fast-paced environment and are passionate about maintaining clean, accurate sales data, this role offers a unique opportunity to impact the future of data-driven sales operations. Key Responsibilities Leadership & Team Management Lead, mentor, and support a team of 2-3 Data Operations Analysts. Foster a high-performing, collaborative team environment. Delegate tasks effectively and provide performance feedback to meet goals. Data Quality & Maintenance Oversee CRM data entry and ensure accuracy and timeliness of account records. Utilize enrichment tools like D&B Hoovers and ZoomInfo for data validation. Regularly clean duplicate records, merge accounts, and update outdated information. Manage data change request queues while adhering to SLAs. Conduct audits to detect and resolve data inconsistencies. Cross-Functional Collaboration Work closely with Marketing, Customer Support, and IT teams to align on data governance policies. Lead monthly Data Operations status meetings with key stakeholders. Actively gather and incorporate feedback to improve data processes. Data Governance & Continuous Improvement Analyze root causes of data quality issues and implement corrective measures. Innovate and implement solutions for improved data management. Reporting & Documentation Maintain records of data maintenance activities and audit results. Prepare regular reports on data quality and operational metrics for senior leadership. Document processes clearly to support audits and team training. Required Qualifications 5+ years experience with Salesforce Sales Cloud and sales data operations. Minimum 3 years managing small teams (2-5 analysts). Strong expertise in data governance and quality tools such as ZoomInfo and D&B Hoovers. Detail-oriented with exceptional organizational and time management skills. Experience with CRMFusion DemandTools is a plus. Excellent collaboration, analytical, and problem-solving skills. Strong written and verbal communication skills in English. Proactive, innovative approach to process improvement. Bachelor s degree or equivalent experience. Reporting This role reports to the Director of Sales Process & Systems based at Rubrik s US headquarters. Rubrik (NYSE: RBRK) is on a mission to secure the world s data. Through Zero Trust Data Security , we enable organizations to build resilience against cyberattacks, insider threats, and operational disruptions. Powered by machine learning, Rubrik Security Cloud protects data across enterprise, cloud, and SaaS applications ensuring data integrity, availability, and rapid recovery in any scenario.

Senior Information Security Analyst Data Governance Location: Bangalore, India About the Team The Information Security (InfoSec) team at Rubrik strengthens company-wide security through initiatives, tools, and processes that protect data and systems. They also oversee security monitoring, incident response, and educate employees on best practices to secure Rubrik s information assets. Role Overview This role focuses on data governance and security review throughout the Software Development Lifecycle (SDLC) to ensure sensitive data is properly protected. You will collaborate cross-functionally with Legal, Engineering, Product, and IT teams, while also supporting the Security Operations Center (SOC) with expert guidance on data governance during incident response. Key Responsibilities Perform data governance and security reviews during SDLC for new products and features. Manage and document metadata, including data lineage, ownership, and definitions. Conduct audits and assessments to ensure compliance with data governance standards. Maintain strong relationships and communication with internal stakeholders to facilitate governance adherence. Act as a subject matter expert for SOC, supporting incident response from a data security perspective. Support training and awareness programs on data governance policies and best practices. Develop and maintain governance documentation, policies, and procedures. Identify and escalate data governance risks with actionable recommendations. Experience & Qualifications Required: Bachelor s or Master s degree in Information Security, Data Analytics, or related field. 3 5 years in information security, data security, or data governance roles. Strong understanding of data security principles and frameworks (e.g., NIST). Excellent communication, presentation, and documentation skills. Project management skills to lead governance projects. Ability to adapt quickly and maintain professionalism in dynamic environments. Preferred: Certifications: CISSP, CISM, CDPSE, Security+ (or similar). Experience with data governance tools and metadata management. Knowledge of data privacy regulations: GDPR, CCPA, HIPAA. Experience supporting or collaborating with SOC/incident response teams. Strong analytical and problem-solving skills, especially with complex data. Familiarity with cloud-based data security solutions. Rubrik leads in Zero Trust Data Security , providing cutting-edge data protection across enterprise, cloud, and SaaS environments. This role offers an impactful chance to enhance data governance and security in a mission-critical, rapidly evolving tech company. Qualification : Bachelors or Masters degree in Information Security, Data Analytics, or related field.

Audit Analyst II - IT Audit & Compliance Location: Bangalore, Karnataka Full Time Experience: 3-4 Years Work Environment: Work from Office (Occasional travel required) About the Team & Role: We are seeking a motivated and detail-oriented IT Audit Analyst to join our Audit & Compliance team. This role involves planning, executing, and reporting on IT audits across various domains, including IT infrastructure, cloud environments, SaaS applications, and compliance frameworks like ISO 27001, ISO 27701, and PCI DSS. The successful candidate will evaluate IT controls, identify risks, and recommend practical solutions to improve the organization's IT governance, risk management, and control environment. You will work independently on moderately complex audits and assist senior auditors on larger engagements. Key Responsibilities: Audit Planning & Execution: Assist in the development of risk-based IT audit plans. Plan and execute audits covering infrastructure, cloud services (AWS), and SaaS applications. Develop audit programs and testing procedures to evaluate IT controls. Compliance & Framework Audits: Conduct audits against IT security and privacy frameworks, including ISO 27001 (Information Security), ISO 27701 (Privacy Information), and PCI DSS (Payment Card Industry Data Security Standard). Risk Assessment & Analysis: Identify IT risks and control weaknesses during audits. Analyze findings and assess potential business impacts. Evaluate risk mitigation strategies. Reporting & Communication: Document audit work, prepare draft reports with findings and recommendations, and communicate results to management and stakeholders. Collaboration & Improvement: Collaborate with IT teams, business units, and external auditors. Stay up-to-date with emerging technologies, IT security threats, and audit methodologies. Contribute to continuous improvement efforts for the audit function. Qualities We re Looking For: Education & Experience: Education: Bachelor s degree in Information Systems, Computer Science, Cybersecurity, Business Administration, or related field. Experience: 3-4 years of progressive experience in IT Audit, Information Security, IT Risk Management, or a related field. Technical Skills: Strong understanding of IT infrastructure components (networks, operating systems, databases, servers, virtualization). Solid knowledge of cloud computing, specifically auditing cloud environments (AWS focus). Experience auditing SaaS solutions and assessing third-party/vendor risk management. Knowledge of IT general controls (ITGCs) and application controls. Framework & Standard Knowledge: Demonstrated experience with ISO 27001, ISO 27701, and PCI DSS standards. Familiarity with other frameworks such as NIST Cybersecurity, COBIT, and SOX ITGCs is a plus. Audit Skills: Proficiency in IT audit methodologies, risk assessment techniques, and control testing procedures. Strong analytical, problem-solving, and critical-thinking skills. Excellent written and verbal communication skills, with the ability to articulate technical issues to both technical and non-technical audiences. Attention to detail and ability to manage multiple tasks and deadlines. Proficiency with Microsoft Office Suite. Certifications & Tools: Professional certifications such as CISA, CISSP, CISM, CRISC, AWS Certified Security Specialty or similar are highly desirable. Experience with GRC (Governance, Risk, Compliance) tools. Experience with data analysis tools like ACL, IDEA, or Excel PowerQuery/Pivot. Joining our team means becoming part of a dedicated, high-performing group focused on IT governance, risk management, and compliance. As an IT Audit Analyst, you'll have the opportunity to work on exciting, challenging audits, develop your skills, and contribute to continuous improvement initiatives. We offer a collaborative and innovative environment where you can grow professionally while making an impact on the organization s success. Equal Employment Opportunity: We are an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Qualification : Bachelors degree in Information Systems, Computer Science, Cybersecurity, Business Administration, or related field.

Senior Technical Project Manager Location: Bangalore Experience: 12 15 Years Company: Mphasis Job Summary The Technical Application Delivery Manager is responsible for overseeing the comprehensive delivery of software applications, ensuring alignment with business needs, technical requirements, and best practices. This role requires a combination of technical expertise, project management skills, stakeholder engagement, and leadership abilities to successfully drive application development and deployment across multiple teams. The candidate will collaborate closely with development teams, business analysts, infrastructure engineers, and stakeholders to ensure timely and high-quality delivery of software solutions. Years of Experience Needed 8+ years of experience in IT/application delivery At least 3-5 years in a leadership role Technical Skills Software Development Lifecycle (SDLC): Expertise in Agile, Scrum, and DevOps practices Cloud Technologies: Proficiency in AWS, Azure, or Google Cloud Platform (GCP) DevOps & CI/CD: Knowledge of Jenkins, GitHub Actions, Azure DevOps, Kubernetes, Docker, Terraform Application Architecture: Expertise in microservices, APIs, event-driven architecture, containerization Programming & Scripting: Familiarity with Java, .NET, Python, JavaScript, or other modern languages Database & Data Management: Understanding of SQL/NoSQL databases, data governance, and analytics CRM: Familiarity with Salesforce Project & Delivery Management Skills Experience in Agile project management, Jira, and Agile frameworks (Scrum, SAFe, Kanban) Expertise in budgeting, cost estimation, and financial planning for application development projects Stakeholder communication and executive reporting skills Vendor management and contract negotiation experience Soft Skills Leadership & Team Management: Ability to mentor teams and foster a culture of accountability and innovation Problem-Solving: Strong analytical skills for troubleshooting technical and process-related issues Collaboration: Excellent ability to work across cross-functional teams, including business and IT Decision-Making: Data-driven approach to prioritization and resource allocation Customer-Centric Mindset: Ensuring that applications align with business and user needs Key Responsibilities (KRA Key Result Areas) Project & Application Delivery Management Lead the planning, execution, and delivery of software applications, ensuring adherence to scope, budget, and timeline Define and manage application delivery roadmaps, aligning with business objectives and IT strategy Oversee software development lifecycle (SDLC) processes, including Agile, DevOps, and CI/CD pipelines Ensure effective risk management and mitigation strategies in application development projects Monitor project performance and take corrective actions to resolve issues proactively Stakeholder & Vendor Management Collaborate with business stakeholders to understand application requirements and translate them into technical solutions Serve as the primary contact point between IT teams, business units, and third-party vendors Manage vendor relationships, ensuring SLAs, contracts, and performance standards are met Communicate progress, challenges, and risks to senior management and stakeholders Technical Leadership & Architecture Oversight Work with architects and development teams to ensure scalable, secure, and high-performing application architectures Promote best practices in software engineering, security, and cloud adoption Provide technical guidance on integration, APIs, microservices, and data management Advocate for automation, DevOps, and cloud-native application development Team Management & Agile Coaching Lead and mentor development, QA, and DevOps teams to enhance technical proficiency and delivery efficiency Foster Agile and DevOps methodologies, ensuring collaboration and continuous improvement Conduct performance reviews and cultivate a culture of learning and innovation within the team Security, Compliance & Risk Management Ensure applications comply with cybersecurity policies, data protection regulations, and industry standards Collaborate with security teams to integrate security best practices into the SDLC Manage incident response plans for application-related issues and security breaches Continuous Improvement & Innovation Identify opportunities for process improvements, automation, and optimization in application delivery Stay updated with emerging technologies, frameworks, and trends in application development Drive digital transformation initiatives, including cloud migration and modernization Experience & Qualifications Educational Background: Bachelor s or Master s Degree in Computer Science, Information Technology, Engineering, or a related field Professional Experience: 8+ years of experience in IT/application delivery, with at least 3-5 years in a leadership role Proven experience in managing large-scale enterprise application development and deployment Strong background in cloud platforms (AWS, Azure, GCP) and DevOps methodologies Experience working in regulated industries (finance, healthcare, telecom) is advantageous Certifications Needed Project Management: PMP, PRINCE2, CSM (Certified Scrum Master), SAFe Agile Certification Cloud & DevOps: AWS/Azure/GCP Solutions Architect, Kubernetes, Terraform About Mphasis Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis Front2Back Transformation approach, leveraging the exponential power of cloud and cognitive technologies. The company s Service Transformation helps enterprises modernize legacy environments, ensuring they stay ahead in a changing world. Equal Opportunity Employer Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regar...

Business Intelligence Manager | Power BI | Data Analytics | SQL | Bangalore Location: Bangalore, India Department: Business Analytics & Insights Reports To: Director, Business Analytics & Insights Experience Required: 5+ years in Business Intelligence or Data Analytics Industry: SaaS / Revenue Lifecycle Management About Conga: At Conga, we empower businesses to drive transformational revenue growth by aligning their teams, processes, and technology. Our revenue lifecycle management platform simplifies the complexity of order configuration, fulfillment, and contract renewals through a unified data model and automation. Our culture is defined by the Conga Way a values-based framework that shapes our decision-making, teamwork, and innovation. Position Overview Business Intelligence Manager: We re seeking an experienced Business Intelligence (BI) Manager to join our team in Bangalore. In this critical role, you will lead the transformation of large and complex datasets into actionable insights using Power BI, drive data governance, and automate reporting processes to support strategic decision-making across the organization. Key Responsibilities: Power BI Expertise: Build and optimize advanced Power BI dashboards and reports using DAX and complex data modeling. Team Leadership: Manage and mentor BI developers and analysts, ensuring high-quality and scalable insights delivery. SQL & Data Warehousing: Leverage SQL (preferably with Snowflake) for data transformation and efficient report querying. Automation: Streamline reporting processes using Power Automate and related tools, improving efficiency and accuracy in executive and board-level reporting. Data Governance: Implement data quality, security, and governance standards to ensure reliable analytics. Documentation: Maintain clear and complete documentation of BI solutions, data flows, and reporting logic. Stakeholder Collaboration: Translate business requirements into technical specifications and collaborate with the enterprise data team to enhance existing models and analytics solutions. Qualifications: Minimum 5 years of experience in BI, analytics, or data reporting roles, with at least 2 years leading a team. Proficiency in Power BI, DAX, and SQL. Experience working with Snowflake or other cloud data platforms. Strong understanding of customer retention, renewals, or customer success metrics. Familiarity with Power Automate or similar automation tools is a plus. Demonstrated experience in data governance, data quality control, and standardization across reporting environments. Bachelor s or Master s degree in Engineering or a related technical field. A technical degree with an MBA is preferred. Excellent communication skills capable of presenting technical insights to both business and technical audiences. Join a forward-thinking SaaS company leading the charge in revenue lifecycle management. Work in an inclusive, values-driven environment with opportunities for career development and innovation. Be part of a culture where clarity, collaboration, and customer-centricity drive everything we do. Qualification : Bachelors or Masters degree in Engineering or a related technical field. A technical degree with an MBA is preferred.

Senior Manager Business Intelligence | Power BI | Data Strategy | SQL | Bangalore Location: Bangalore, India Reports To: Director, Business Analytics & Insights Experience: 8+ years in Business Intelligence / Analytics Leadership Industry: SaaS | Revenue Lifecycle Management | Data & Analytics About Conga: At Conga, we empower businesses to achieve transformational revenue growth by aligning teams, technology, and processes through our comprehensive Revenue Lifecycle Management solutions. We simplify complexity across contract management, order execution, fulfillment, and renewals using a unified data model built to adapt to dynamic business needs. Our culture is defined by the Conga Way a people-first framework developed with input from employees that guides everything we do from hiring to leadership to innovation. Role Overview Senior Manager, Business Intelligence: We are seeking a highly driven Senior Manager Business Intelligence to lead our Power BI development team, drive analytics strategy, and modernize how we deliver data insights across the organization. Based in Bangalore, this high-impact leadership role is responsible for building scalable reporting infrastructure, streamlining automation, and delivering clear, actionable insights for senior stakeholders and executive decision-makers. Why this role matters: This position plays a critical role in transforming business intelligence from manual reporting to dynamic, real-time dashboards using Power BI. Your contributions will shape how our business leaders consume data, identify opportunities, and make informed decisions faster and with more accuracy. Key Responsibilities: Leadership & Oversight: Manage and mentor a team of Power BI developers and data analysts, guiding prioritization, best practices, and technical problem-solving. Foster a culture of data-driven decision-making across the organization. BI Development & Data Modeling: Lead the development of interactive Power BI dashboards, leveraging advanced DAX functions and data models. Utilize SQL (preferably in Snowflake) to support backend data transformation and reporting. Stakeholder & Project Management: Collaborate with cross-functional teams, including IT and enterprise analytics, to define project scopes, business priorities, and reporting solutions. Translate ambiguous business requirements into clear, actionable technical specifications. Data Governance & Documentation: Implement and oversee data quality, security, and governance standards across all BI assets. Maintain comprehensive documentation for BI tools, data models, and business logic. Automation & Process Efficiency: Oversee automation of recurring deliverables including board reports, senior leadership dashboards, and key business performance metrics. Leverage Power Automate and other workflow tools to reduce manual effort and enhance reporting accuracy. Strategic Data Integration: Partner with enterprise data teams to improve data integration and ensure scalability and reusability of analytics assets. Qualifications: 8+ years of experience in Business Intelligence, Analytics, or Data Strategy, including team leadership. Strong hands-on experience with Power BI, DAX, and SQL (preferably with Snowflake or similar cloud platforms). Proven success in project management, requirement gathering, and stakeholder engagement across multiple business units. Bachelor s or Master s degree in Engineering, Computer Science, or related technical field. An MBA is strongly preferred. Experience in data governance, automation, and working in a SaaS or enterprise software environment is a plus. What Sets You Apart: Excellent communicator You bridge the gap between technical and non-technical stakeholders with ease. Strategic mindset You think beyond dashboards to the big picture of business impact. Problem solver You enjoy tackling complex data challenges and finding innovative solutions. Passionate leader You inspire teams, drive accountability, and bring a growth mindset to everything you do. Drive data transformation at a high-impact SaaS company. Be part of a people-first culture that values growth, innovation, and inclusivity. Work on mission-critical projects that support strategic decision-making for global leadership. Qualification : Bachelors or Masters degree in Engineering, Computer Science, or related technical field. An MBA is strongly preferred.

Position: Data Integration Developer Talend Location: Bangalore Employment Type: Full-time Experience Required: 4 to 7 years Overview: We are seeking a Data Integration Developer with strong expertise in Talend to join our growing data engineering team. This role is ideal for professionals who are passionate about designing and building robust, scalable ETL/ELT pipelines and integrating enterprise data across cloud and on-premise platforms. You will work closely with data architects, business analysts, and reporting teams to support data transformation, integration, and analytics efforts. Key Responsibilities: ETL/ELT Solutions Development: Design, develop, and deploy scalable ETL/ELT processes using Talend Data Integration (on-prem and cloud). Data Transformation & Integration: Implement data transformation using stored procedures and other data processing techniques. Report Development Support: Collaborate with reporting teams to support dashboard/report creation using tools like MicroStrategy and Power BI. Documentation & Data Governance: Create detailed pipeline documentation, configurations, and data workflows. Performance Optimization: Monitor pipeline performance, identify bottlenecks, and troubleshoot data integration issues. Essential Skills: Hands-on experience with Talend Suite (Talend Data Integration, Talend Cloud) Experience with Snowflake and writing Stored Procedures Knowledge of ETL/ELT design, data warehousing, and data modeling Familiarity with JSON, XML, CSV data formats Experience with data quality frameworks and job monitoring/scheduling tools Proficiency in Agile methodology and tools like JIRA Desirable Skills: Experience with reporting tools such as MicroStrategy and Power BI Skills in scripting languages: Python, Java, or Shell Understanding of cloud platforms (AWS, GCP, Azure) and related data services Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field Minimum of 3+ years of Talend development experience Qualities We Value: Strong verbal and written communication skills Experience in Agile and cross-functional team environments Problem-solving mindset and ability to work under minimal supervision Quick learner with a passion for data and process improvement Work with modern cloud data integration and enterprise tools Collaborate with global clients and expert teams Be part of cutting-edge data platform transformation initiatives Apply today and be part of our mission to deliver next-gen, data-driven insights. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field

Position: Data Integration Developer (Snowflake & DBT) Location: Bangalore Employment Type: Full-time Experience Required: 5 to 7 years Purpose of the Position: This role seeks candidates who are passionate about data and motivated to address the organization's analytics challenges. As a Data Integration Developer (Snowflake & DBT), you will play a crucial role in assisting our clients with their data and analytics journey. Your responsibilities will include building robust data pipelines, enhancing data consistency, and developing the necessary infrastructure to support analytics platforms. Key Responsibilities: Technical Expertise: Develop and optimize ETL processes using Snowflake capabilities. Build and maintain advanced data models and ETL processes using DBT (Data Build Tool). Ensure efficient data transformation and integration within the data warehouse. Collaboration: Work closely with data analysts, engineers, and stakeholders to understand business requirements and translate them into technical solutions. Facilitate effective communication and collaboration across teams. Quality Assurance: Implement and oversee data quality checks and testing procedures. Ensure data accuracy, consistency, and compliance with governance policies. Documentation and Reporting: Create and maintain comprehensive documentation for ETL processes and project workflows. Provide regular updates and reports on project progress and performance metrics. Compliance and Security: Ensure all data engineering activities comply with data governance and security policies. Implement measures to protect data integrity and confidentiality. Essential Skills: Proficient in SQL: Skilled in writing efficient queries on large datasets, including CTE and database table design. Snowflake Expertise: Experience with Snowflake or other database technologies, including SQL tuning. ETL Development: Skilled in developing and optimizing ETL processes using Snowflake and other tools. DBT Experience: Familiar with DBT Core/DBT Cloud and fundamental data modeling concepts (3NF, Star, Snowflake). Data Analysis and Profiling: Experienced in data analysis and profiling tasks. Qualifications: Overall Work Experience: More than 5 years of experience, with at least 2-3 years of experience in Snowflake and DBT. Education: Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree is a plus). Key Qualities: Decision Making: Ability to influence and implement change with confidence and sound decisions. Problem-Solving: Tackles problems head-on with a logical, systematic, and practical approach; follows up with developers. Communication: Ability to consult, write, and present persuasively. Team Collaboration: Works effectively in self-organized, cross-functional teams. Apply now and become an integral part of our innovative team working on cutting-edge data integration solutions! Qualification : Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree is a plus).

Intuit is a global leader in financial technology, dedicated to helping individuals and businesses thrive. Our suite of products, including TurboTax, Credit Karma, QuickBooks, and Mailchimp, serves approximately 100 million customers worldwide. At Intuit, we believe in providing everyone with the tools and resources they need to achieve financial success. We are constantly innovating to make financial empowerment a reality for all. Job Overview Join the Intuit Data Platform (IDP) team as a Staff Engineer and help us transform the way we handle big data! The IDP team is responsible for the Intuit Analytics Platform, which powers real-time data ingestion, cataloging, analytics, and machine learning across the entire organization. As Intuit s customer base grows, so does the volume of data we process. Our engineering excellence ensures that we can scale and leverage this data to drive machine learning and product innovations. We re in the process of building the next-generation real-time and batch ingestion engine, capable of indexing, cataloging, and organizing data and metadata. We are passionate about using open-source technologies to solve challenges and contributing back to the community. If you're excited about building a platform that will directly impact data scientists and analysts and have a desire to shape the future of data at Intuit, then come join us! Key Responsibilities Architect & Design: Build fault-tolerant and scalable big-data platforms using open-source technologies to handle massive datasets. Data Solutions: Create architecture solutions that address complex use cases like data normalization, lineage, governance, ontology, and discoverability. Cross-Team Collaboration: Work with analysts and data scientists to understand data requirements for building operational propensity models and gaining deep customer insights. Hands-On Coding: Lead development efforts within the Hadoop ecosystem using technologies such as Java MapReduce, Spark, Scala, HBase, and Hive to build and optimize data pipelines for both real-time and batch applications. Database Management: Work with NoSQL, SQL, and in-memory databases to design high-performance data systems. Code Reviews: Ensure code quality, consistency, and adherence to best practices through regular code reviews. Architectural Alignment: Ensure alignment between enterprise architecture and business requirements. Prove Feasibility: Conduct proof-of-concept (POC) experiments for new technologies or approaches and drive them to production. Collaboration with Data Cataloging Team: Work closely with data catalog teams and architects to index and catalog all data sources at Intuit. Agile Leadership: Lead fast-paced development teams using agile methodologies and promote best practices in software development, testing, and incident response. Design & Model: Build dimension models suited for customer business use cases and ensure seamless integration of business and technical requirements. Qualifications Experience: 12+ years of relevant experience, with at least 5+ years specializing in the big data domain. Big Data Architecture: Proven experience in architecting end-to-end ecosystems for big data and analytics platforms. Expert Knowledge: Deep expertise in building fault-tolerant, scalable big data solutions, especially using the Hadoop ecosystem (Hive, HBase, Spark, Kafka, MapReduce, etc.). Programming Expertise: Mastery of Java and Scala, with a focus on building high-throughput data services. Machine Learning: Knowledge of machine learning principles and AI applications in big data. Big-Data Technologies: Familiarity with tools such as HDFS, Storm, Zookeeper, Cassandra, Redshift, GraphDB, and others. Understanding both real-time and batch processing in the Hadoop ecosystem. Communication: Strong communication skills, with an ability to explain complex technical topics to both technical and non-technical audiences. Programming Skills: Intermediate experience in Python or R for data processing. Education: BE/BTech/MS in Computer Science or a related field (or equivalent experience). Collaboration: Demonstrated ability to work cross-functionally and lead change through influence and example. At Intuit, you ll be part of a talented, passionate team working on innovative solutions that shape the future of data analytics and machine learning. As a Staff Engineer, you ll have the chance to work with cutting-edge technologies, build scalable systems, and help revolutionize how Intuit leverages data to drive product innovation. If you're looking for a dynamic environment where you can have a meaningful impact, come join us at Intuit! Qualification : BE/BTech/MS in Computer Science (or equivalent)

Job Title: Sr. Engineering Manager - Data Engineering Level: L5 Experience: 13-16 years Overview We are seeking an experienced Engineering Manager with a strong background in Data Engineering, including ETL/ELT processes and cloud-based data platforms such as Snowflake. The ideal candidate will lead and mentor a team of data engineers, drive data architecture initiatives, and work closely with cross-functional stakeholders to ensure our data infrastructure supports evolving business needs. Key Responsibilities Team Leadership: Lead, mentor, and develop a high-performing data engineering team, fostering a culture of collaboration, innovation, and continuous learning. Data Pipeline Development: Oversee the design, development, and maintenance of robust ETL/ELT pipelines to ingest, transform, and process data at scale. Cloud Data Infrastructure: Drive the architecture and implementation of cloud-based data solutions, especially leveraging Snowflake, ensuring scalability, security, and reliability. Cross-Functional Collaboration: Partner with product managers, analysts, data scientists, and other business stakeholders to gather requirements and prioritize engineering efforts that deliver the most impact. Architecture and Design: Develop and enforce data architecture standards for high-performance data warehousing, ensuring seamless data integration across diverse sources. Performance Optimization: Identify and resolve performance bottlenecks, focusing on query optimization, cost management, and resource efficiency. Data Quality & Governance: Define and implement data quality frameworks and governance practices, ensuring data consistency and reliability across all pipelines. Innovation & Strategy: Stay informed on emerging data technologies and industry best practices, continuously improving processes and aligning solutions with long-term data strategies. Required Skills 8+ years of hands-on experience in data engineering, including 5+ years in a leadership role. Strong expertise in ETL/ELT processes and hands-on experience with tools like Talend, Informatica, or similar platforms. Deep proficiency in Snowflake or comparable cloud data platforms such as Redshift or BigQuery. Advanced SQL skills, including query optimization, performance tuning, data modeling, and schema design. Hands-on experience with Python or Java for data processing and automation. Knowledge of data governance, compliance standards, and data security best practices. Excellent communication and project management skills, with the ability to prioritize and manage multiple projects in parallel. Preferred Skills Exposure to Big Data technologies such as Spark, Hadoop, Databricks, Synapse, etc. Experience with workflow orchestration tools like Apache Airflow or AWS Step Functions. Familiarity with CI/CD pipelines and DevOps practices within data engineering. Experience working with BI tools like Tableau or Power BI, and reporting integrations.

Job Title: Senior Cloud Data Engineer Experience: 10+ Years Location: Bengaluru About Capgemini Invent: Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group. It brings together leading expertise in strategy, technology, data science, and creative design to help CxOs reimagine their businesses. We are a global business line dedicated to helping organizations envision and build what s next. Your Role: As a Senior Cloud Data Engineer at Capgemini Invent, you will design, develop, and maintain scalable data pipelines using advanced cloud technologies to ensure smooth data integration and efficient workflows. You will collaborate with cross-functional teams to deliver robust and optimized data solutions while ensuring compliance and security throughout the process. Key Responsibilities: Design, develop, and maintain scalable data pipelines using AWS services. Optimize data storage and retrieval processes to ensure efficiency and accessibility. Ensure data security and compliance with industry standards, including data privacy laws. Manage large volumes of data, focusing on accuracy, integrity, and secure accessibility. Develop and refine data processes for data modeling, mining, and production. Implement quality checks, data validation, and monitoring of data flows. Collaborate with data scientists, analysts, and IT teams to meet data requirements. Work closely with data architects and modelers on project objectives and solutions. Troubleshoot and resolve issues in data pipelines, ensuring performance tuning and optimization. Develop and implement disaster recovery procedures to safeguard data. Ensure seamless integration of HR and other business data into cloud-based environments. Research new opportunities for data acquisition and discover additional uses for existing data. Stay up-to-date with the latest cloud technologies, data management practices, and trends, including Generative AI. Recommend and implement improvements to enhance data reliability, efficiency, and quality. Your Profile: 10+ years of experience in cloud data engineering. Proficiency with cloud platforms such as AWS, Azure, or Google Cloud. Experience with data pipeline tools like Apache Spark, AWS Glue, or similar technologies. Strong programming skills in Python, SQL, Java, or Scala. Familiarity with Snowflake, Informatica, or similar tools is an advantage. In-depth knowledge of data privacy laws, security best practices, and data governance. Expertise in analyzing and interpreting complex datasets to derive actionable insights. Strong communication, collaboration, and problem-solving skills. Knowledge of database technologies, including SQL, Big Data, and Cloud-based systems. Passion for learning and keeping up with emerging technologies, particularly in Generative AI. Experience working in an Agile framework and managing multiple projects simultaneously. Ability to adapt to evolving priorities and business needs. What You Will Love About Working Here: Flexibility: Enjoy flexible work arrangements such as remote work or flexible hours, ensuring a healthy work-life balance. Career Growth: We offer numerous opportunities for career advancement and personal development, helping you explore diverse paths and expand your skills. Certifications & Learning: Gain valuable certifications in cutting-edge technologies, including Generative AI, to stay ahead of the curve. About Capgemini: Capgemini is a global business and technology transformation partner that helps organizations accelerate their dual transition to a digital and sustainable world. With a team of 340,000 professionals in over 50 countries, we are dedicated to making a tangible impact on enterprises and society. Trusted by clients for over 55 years, Capgemini uses its deep industry expertise and cutting-edge technologies such as AI, cloud, and data to unlock the full potential of businesses worldwide. In 2023, the group reported global revenues of 22.5 billion.

Data Engineer Role Overview We are looking for a Data Engineer to design, develop, and maintain scalable data pipelines and ETL processes. You will work closely with data scientists, analysts, and engineers to ensure efficient data processing and storage solutions that support business intelligence and analytics needs. This role requires expertise in SQL, big data technologies, and cloud platforms to build and optimize data workflows. Key Responsibilities Data Pipeline Development & Optimization Design and build scalable ETL/ELT processes for structured and unstructured data. Develop and maintain data ingestion frameworks to handle large datasets efficiently. Ensure data integrity, consistency, and security across multiple sources. Database & Data Warehouse Management Develop, optimize, and maintain relational and NoSQL databases. Implement data modeling best practices for performance and scalability. Work with cloud-based data warehouses (e.g., Snowflake, Redshift, BigQuery). Big Data & Cloud Technologies Leverage big data tools (e.g., Spark, Hadoop, Databricks) for data processing. Work with cloud platforms (e.g., AWS, Azure, GCP) to build and optimize data solutions. Develop real-time and batch processing workflows. Collaboration & Documentation Work closely with data scientists, engineers, and business teams to understand data requirements. Document data pipelines, architecture, and workflows for scalability and maintenance. Required Qualifications & Skills Technical Expertise: Strong experience with SQL and Python for data processing. Proficiency in ETL/ELT frameworks and data integration techniques. Hands-on experience with big data tools (e.g., Apache Spark, Hadoop, Kafka). Cloud & Database Management: Expertise in cloud data platforms (Azure, AWS, GCP). Experience with data warehousing solutions (Snowflake, Redshift, BigQuery). Understanding of data governance, security, and compliance. Performance Optimization & Troubleshooting: Ability to optimize SQL queries and improve data processing efficiency. Experience troubleshooting complex data pipeline issues. Apply Now & Be Part of an Innovative Data Team!

Description At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/. Johnson & Johnson is recruiting for some great opportunities for its Global Services (GS) in Bangalore, India which is well equipped with the latest technology and modern infrastructure. This is your chance to work with the best talent in a workforce that reflects the diverse markets Johnson & Johnson serves around the world, and an inclusive culture that values different perspectives and life experiences. Reimagine the possibilities at Johnson and Johnson Global Finance! We live this motto every day by creating exciting business solutions for the world s largest and most broadly-based healthcare company. As a member of our Global Finance team, you will have exclusive access to a network of financial professionals located in over 60 countries. This new network will help you build on your current skills and explore opportunities to grow your career in J&J. At J&J Global Finance, we value ideas for innovation and improvement and are committed to diversity and inclusion. Together we will reinvent business processes to become more effective, more efficient, and improve customer experience. We are proud to be an equal opportunity employer. The Global Services Finance organization provides best-in-class, cost-effective financial services, and compliance support in a J&J way to our Operating Companies around the world. Risk Management & Compliance (RM&C) is one of such initiative under Global Services Finance. RM&C, ASPAC is seeking a Risk Management & Compliance Analyst who will have responsibility for fulfilment of the SOX and Compliance programs across J&J entities, training and advisory along with all Compliance related support to different sectors and performing walkthroughs, sampling, testing the effectiveness of control deployment, documentation of testing results, remediation support, monitoring, audit support, project support etc. Key Responsibilities 1. Be compliant with applicable laws and regulations, and follow guidelines in the J&J Credo 2. Maintain Operational Excellence Deep expertise and knowledge of the Worldwide Procedures and compliance requirements for respective areas. Identify compliance risks and recommend solutions to remediate / prevent breach. Ensure strong internal controls are in place and maintain compliant environment across the Organisation. Responsible for performing Compliance Health Checks and other internal reviews to test the effectiveness of the control placement. Support timely closing & execution of financial periods as per closing calendar and in accordance with SLA commitments, fully observing Compliance, Internal Audit & SOX requirements. Accountable for supporting completeness, accuracy and validity of the actuals reported within process/entity scope. Work closely with all business process and IT team members to communicate compliance requirements, documentation standards, sign-offs and review processes. Provide trainings to all business process owners for any change/update in financial procedures. Support projects, business partnering with collaborators, assisting business process owners with adoption of J&J policies & procedures. Support in standard Compliance document requirements: Risk Control Matrix, Hand-off s, SOPs and submission of required SOX templates (system inventory templates, SOX questionnaires etc.). Performs control walkthrough, operational testing and discusses the findings with the process owners. Conduct compliance due diligence for transitions in-scope. Testing of preventive & detective UA/SOD Controls (e.g. granting, facilitating appropriateness & semi-annual reviews) across all ERP systems. Support Sectors during Corporate Financial Audits. Supervise and drive the Corrective Action Plan (CAP) process, to ensure audit(internal & external) recommendations and key control gaps per SOX testing are implemented and other internal control gaps are closed timely and effectively. Be A Trusted Business Partner Implement global Strategy & Solutions in line with taxonomy. Support Process Subject Matter Experts (SME's) and Operational Key Contacts (OKC's) to ensure cross sector, cross region, and cross process alignment, ensuring good documentation is maintained and consistency of a global approach Create radical Innovation Generate ideas, fosters, and implements continuous improvement attitude, identifying and pursuing process efficiency opportunities. Manage operational improvements, generating ideas and implementing in line with global standards. Qualifications Qualifications Education A minimum of a Bachelor s level degree or equivalent is required, preferably in accounting, finance, or related business subject area. ACA, CPA and/or other financial certifications is highly preferred. Required At least 1 - 3 years of post qualification experience is required: Strong knowledge and understanding of accounting and financial processes (for Trading as well as Manufacturing business), shared services and related subject matter Understanding of internal controls, risk management, US GAAP accounting, financial systems, IT development and/or production support Clear understanding of SOX 404 requirements Understanding of audit procedures and auditing practices Experience in developing and managing audit programs desirable Experience in performing audits of financial processes and systems required, preferably in manufacturing/trading/service industry At least 1 year Management / Supervisory / team handling experience i...

HPE Global IT is a dynamic organization enabling digital transformation through cutting-edge technology solutions. As an AI Governance Lead, you will play a pivotal role in defining and implementing governance frameworks to ensure the responsible and ethical use of AI technologies within HPE. Key Responsibilities Translate high-level business objectives into AI governance requirements and frameworks. Define and prioritize AI governance program goals based on business needs and compliance requirements. Develop, implement, and support AI governance strategies that align with HPE s overall AI vision. Ensure AI projects comply with governance and ethical standards through design reviews and assessments. Analyze business requirements for AI initiatives to design robust governance frameworks. Monitor AI risks, generate key performance metrics, and regularly report on governance effectiveness. Collaborate with Privacy, Cybersecurity, and AI Ethics teams to ensure regulatory compliance. Manage AI governance tools and systems for compliance monitoring and performance analysis. Lead and mentor a technical team of full-time employees and contractors. Establish relationships with vendors and negotiate cost-efficient contracts for AI tools and services. Represent AI governance initiatives in customer-facing discussions and engagements. Willingness to travel domestically or internationally as needed. Required Qualifications Education & Experience: Bachelor s degree with a minimum of 12 years of experience, or Master s degree with a minimum of 10 years of experience in AI governance, IT strategy, or a related field. Skills & Competencies: Leadership & Team Management Strong ability to lead, mentor, and manage technical teams. AI & Data Governance Expertise Deep understanding of AI technologies, machine learning models, and data privacy regulations. Program Management Ability to oversee complex AI governance programs with both technical and business considerations. Problem-Solving & Analytics Strong analytical skills to assess governance risks and implement effective solutions. Communication & Stakeholder Management Ability to explain AI governance concepts to non-technical audiences and collaborate across functions. Preferred Qualifications Experience in Cisco Security Technologies and AI security compliance frameworks. Strong knowledge of privacy regulations, cybersecurity policies, and AI ethical principles. Familiarity with AI risk assessment models and compliance auditing tools. Why Join HPE? Health & Wellbeing We offer a comprehensive benefits package to support your physical, financial, and emotional well-being. Personal & Professional Development HPE invests in your career growth through specialized training programs and internal mobility opportunities. Diversity, Inclusion & Belonging We embrace diversity and create an inclusive work environment where everyone feels valued and empowered. At HPE, we make bold moves together. Join us in shaping the future of AI governance and enterprise innovation! Qualification : Bachelors degree with a minimum of 12 years of experience, or Masters degree with a minimum of 10 years of experience in AI governance, IT strategy, or a related field.