BI Manager With SQL Expertise Jobs in Bengaluru

Position: Lead Product Analyst Location: Bengaluru Department: Product Job Type: Full-time Industry: FinTech / Product Analytics About Tide At Tide, we re on a mission to help small and medium enterprises (SMEs) save time and money. We provide them with business accounts, banking services, and a comprehensive suite of connected administrative solutions from invoicing to accounting. Tide is revolutionizing the small business banking market, with over 1.6 million members globally across the UK, India, Germany, and France. We re committed to creating a seamless, data-driven experience for our members through innovative technology and quick, low-fee services. About the Role As a Lead Product Analyst, you ll play a crucial role in shaping and influencing the Acquiring Product strategy, including POS, T2P, and Digital initiatives. You ll leverage your expertise in data analytics to uncover insights that drive merchant growth, optimize pricing, and improve portfolio performance. You will be a hands-on expert who works closely with cross-functional teams in Product, Marketing, Commercial, and Data Science, ensuring data-driven decisions power the product roadmap. This is an exciting opportunity for someone who thrives in a high-impact, high-autonomy environment and can both lead and execute. You ll be responsible for driving multiple initiatives simultaneously, creating clarity from ambiguity, and providing actionable insights that influence strategic decisions. Key Responsibilities Product Strategy Influence: Shape the strategy for Acquiring Products by identifying product and marketing opportunities based on data insights. End-to-End Analytics Projects: Lead analytics projects from beginning to end including problem definition, hypothesis framing, stakeholder alignment, insight delivery, and storytelling. Deep-Dive Analyses: Conduct in-depth analyses of the merchant lifecycle, including acquisition, activation, engagement, retention, pricing sensitivity, and churn triggers to inform product and marketing strategies. KPI Definition & Monitoring: Define and monitor key performance indicators (KPIs) for new product launches and ongoing performance to ensure alignment with impact metrics. Collaboration with Cross-Functional Teams: Partner with Product, Marketing, and Finance teams to uncover growth opportunities, measure performance, and provide data-driven recommendations for product strategy. Advanced Data Analysis: Use SQL and Python to explore large datasets, conduct statistical analyses, build segmentations, and test hypotheses. Innovation & Scalability: Proactively identify new areas for analytics contribution. Introduce fresh ideas, scalable analytical frameworks, and approaches to enhance the overall impact of data insights. Mentorship & Advocacy: Coach other analysts and stakeholders, fostering a culture of data-driven decision-making and elevating the business s analytical maturity. Data Storytelling: Translate complex data into clear, actionable business stories and visualizations using tools like Looker or other BI tools. What We Are Looking For Experience 10+ years of analytics experience, preferably in a high-growth product or SaaS company. Proven track record in product analytics, particularly within the merchant acquiring or digital payments domain. Strong Analytical Skills Expertise in SQL for complex querying and Python for data analysis or prototyping. Strong understanding of merchant lifecycle analytics, including acquisition, activation, engagement, and retention metrics. Strategic & Commercial Mindset Deep understanding of how to use data to optimize pricing, target specific customer segments, and drive product performance. Ability to prioritize initiatives based on business impact and alignment with strategic goals. Influence & Leadership Proven ability to influence senior stakeholders and drive change without direct authority. Comfortable in high-autonomy, high-impact environments, taking the initiative and owning outcomes. Communication Skills Ability to convert complex data into clear, compelling narratives that resonate with both technical and non-technical stakeholders. Proficiency in using BI tools (Looker, Tableau, etc.) to visualize and communicate insights effectively. Self-Motivation A self-starter who can work independently, take initiative, and lead multiple projects simultaneously. What You ll Get In Return Competitive Salary: Competitive compensation and performance-based bonuses. Health Insurance: Self & family health insurance along with OPD benefits. Life & Accident Insurance: Comprehensive protection with term & life insurance. Mental Wellbeing: Access to Plumm, a mental wellbeing platform for therapy sessions and courses. Learning & Development: An annual budget for courses, books, and coaching to help you grow. Stock Options: Equity options that allow you to benefit from Tide s future success. Work From Home Setup: A contribution toward setting up your home office. Time Off: 15 days of privilege leave, 12 days of casual leave, 12 days of sick leave, and 3 paid days off for volunteering or L&D activities. At Tide, we re Member First, Data Driven, and One Team. Our Working Out of Office (WOO) policy allows you to work from anywhere in the world for up to 90 days a year. We embrace flexible working hours, trust our employees to manage their own schedules, and foster a collaborative, supportive team culture.

Position Title: Data Architect Department: R&D Engineering Location: Bangalore Experience: 15+ Years Industry: SaaS / Conversational Engagement / Customer Experience Technology About Acqueon: Acqueon is a leading provider of conversational engagement software that enables customer-centric enterprises to proactively engage with their customers across voice, messaging, and email channels. By leveraging a powerful data platform, predictive models, and intelligent workflows, we help brands enhance customer experience, improve collections, and drive revenue growth. With over 200 global clients, Acqueon is at the forefront of AI-powered customer engagement. Role Overview: We are seeking a visionary and technically hands-on Data Architect to lead the development of enterprise-scale data platforms and engineering solutions. You will work closely with Product Owners, Engineering Leadership, and cross-functional teams to define and execute a strategic technology roadmap aligned with Acqueon s business goals. As a key member of our R&D team, you ll lead the design and development of highly scalable, low-latency, fault-tolerant data systems, while mentoring top-tier engineering talent and driving high-impact product features. Key Responsibilities: Architect & Lead: Design and lead development of scalable data architectures and solutions supporting real-time and batch processing, analytics, and enterprise applications. Strategic Ownership: Define and implement the data strategy, technology roadmap, and long-term architecture vision for Acqueon s platforms. Leadership: Manage and mentor a team of senior developers and engineers, fostering innovation, ownership, and delivery excellence. Cross-functional Collaboration: Work with Product, Sales, Engineering, and Customer teams to align on feature development and delivery strategy. Project Management: Oversee the end-to-end delivery of complex features, ensuring adherence to timelines, scalability, and quality standards. System Design: Review architecture and design for robustness, performance, and fault tolerance, including multi-region, high-availability setups. R&D Enablement: Collaborate with international R&D teams and align development efforts across global product initiatives. Innovation & Optimization: Drive architectural decisions, recommend performance improvements, and ensure best practices for enterprise-scale data solutions. Required Skills & Experience: Education: Bachelor s or Master s in Computer Science, IT, or related field. Experience: 15+ years in software development and data architecture, with leadership experience in managing engineering teams. Architecture Expertise: Proven experience in designing scalable, concurrent, distributed, and highly available data systems. Database Proficiency: Strong in SQL/NoSQL databases Experience with MS SQL, Aerospike, DynamoDB, Snowflake In-depth knowledge of micro-partitions, cluster keys, warehouse cloning, time travel in Snowflake Strong in writing and tuning complex stored procedures ETL & Pipelines: Experience in building ETL pipelines and integrating data from S3, Kinesis Streams, APIs Cloud & DevOps: Strong understanding of Docker, AWS, and cloud-native deployment architectures Setting up multi-region resilience, disaster recovery strategies Technologies: Elasticsearch, AWS data services, container orchestration Big Data & Analytics: Exposure to analytical processing and statistical modeling is a plus Leadership: Strong project management skills, stakeholder engagement, and team mentoring experience Preferred Qualifications: Background in customer engagement, VDI, Cybersecurity, or Secure Access technologies Previous experience working with distributed R&D and product teams Knowledge of Acqueon, Citrix, VMware, Omnissa platforms is a plus Certifications in AWS, Snowflake, or similar technologies are an advantage Soft Skills & Behavioral Traits: Strong verbal and written communication skills Strategic thinking with hands-on execution ability High accountability and ownership mindset Ability to work in a fast-paced, dynamic, startup-like environment Comfortable with ambiguity and context-switching Team player with the ability to lead by influence and collaboration Be a part of a fast-growing, AI-driven SaaS company disrupting the customer engagement space Work on cutting-edge technologies with global product teams Ownership of end-to-end solutions and ability to shape the data platform of the future A culture that promotes innovation, agility, and career growth

Job Title: Lead Business Analyst / Product Owner Location: Bangalore, India Experience: 8 12 Years Employment Type: Full-Time Role Overview: We are seeking a dynamic and experienced Lead Business Analyst / Product Owner to lead the strategic planning and delivery of high-value products in the payments domain. The ideal candidate will bridge business objectives with technical execution, ensuring seamless communication between stakeholders, development teams, and end-users. This role is critical in shaping product vision, driving agile practices, and delivering meaningful solutions aligned with business goals. Domain Expertise: Candidates must have hands-on experience in payments-related projects or the financial services domain. Key Responsibilities: Requirement Gathering & Analysis: Engage with stakeholders to gather and analyze business needs and translate them into clear and actionable requirements. Prepare functional and non-functional specifications, user stories, process maps, and wireframes. Ensure alignment between business expectations and technical deliverables. Product Ownership & Backlog Management: Own and manage the product backlog with a focus on continuous grooming and prioritization. Develop, articulate, and communicate the product vision, strategy, and roadmap. Define user stories, acceptance criteria, and epics that drive value and deliver outcomes. Stakeholder Collaboration: Act as a key liaison between business stakeholders and technical teams, ensuring shared understanding of product goals. Conduct and facilitate sprint planning, reviews, and retrospectives in collaboration with cross-functional teams. Ensure seamless coordination among developers, testers, UX designers, and business teams. Testing & Validation: Lead User Acceptance Testing (UAT) and validate that product features meet stakeholder requirements. Track feedback from end users and incorporate into the backlog for iterative improvements. Ensure that solutions are aligned with business objectives and customer needs. Market Research & Strategy: Analyze market trends, competitor offerings, and customer feedback to drive data-informed product decisions. Define and monitor key performance indicators (KPIs) and product success metrics. Support product launch planning and go-to-market strategies. Required Skills & Qualifications: Experience: 8 12 years in business analysis, product ownership, or related roles. Education: Bachelor's or Master s degree in Business, Computer Science, or a related discipline. Technical Skills: Strong experience working in Agile environments (Scrum/Kanban). Proficiency in tools such as JIRA, Confluence, Figma, or Trello. Good understanding of APIs, databases, and system integrations (preferred). Soft Skills: Excellent communication, stakeholder engagement, critical thinking, and problem-solving capabilities. Preferred Qualifications: Relevant certifications such as CBAP, CSPO, or PMI-PBA. Experience with UX/UI principles and wireframing tools. Working knowledge of SQL for data analysis is a plus. Qualification : Bachelor's or Masters degree in Business, Computer Science, or a related discipline.

Job Title: Senior Developer SQL & Snowflake Location: Bangalore, India Experience: 7+ Years (Minimum 3+ years in Snowflake) Employment Type: Full-Time Job Overview: We are seeking a highly skilled Senior Snowflake Developer to join a global financial services project for a client operating in public/private loans, CLOs, and long/short credit. The ideal candidate will bring expertise in Snowflake, SQL, Coalesce, and Fivetran, with a strong background in data integration and cloud-based data warehousing. You will be instrumental in driving forward key data initiatives and delivering innovative, scalable data solutions in a fast-paced, agile environment. Key Responsibilities: Design, develop, and optimize Snowflake objects including databases, schemas, tables, views, and stored procedures. Build and maintain Snowflake data pipelines utilizing tools like SnowSQL, SnowPipe, Streams, and Tasks. Implement data loading strategies using COPY, PUT, GET, LIST, and REMOVE commands for batch and bulk data movement. Ensure seamless migration and integration of data from Azure Cloud to Snowflake with high attention to performance and data integrity. Define and manage Snowflake roles, custom role hierarchies, masking policies, and network policies for enhanced security and governance. Use Coalesce and Fivetran for designing and managing ETL/ELT workflows that extract and transform data from MS SQL Server. Write complex T-SQL queries, stored procedures, triggers, and functions for data transformation and reporting. Collaborate closely with cross-functional teams to understand requirements and translate them into technical solutions. Participate in Agile sprints, offering technical guidance, solution design, and timely issue resolution. Required Skills & Qualifications: 8+ years of total IT experience with at least 3+ years of Snowflake development experience. In-depth understanding of Snowflake architecture, utilities, and performance optimization techniques. Strong expertise in MS SQL Server with proficiency in writing advanced T-SQL scripts. Hands-on experience with ETL tools like Coalesce and Fivetran. Proficiency in Azure Data Integration strategies and tools. Excellent problem-solving and communication skills. Experience working in an Agile development environment. Preferred Skills: Prior exposure or high-level understanding of hedge funds, private equity, or private debt domains. Familiarity with data governance and compliance requirements in financial institutions. What s on Offer: Competitive and above-market salary. Hybrid work model with flexibility. Opportunity to work on cutting-edge technology in global financial markets. Collaborative, innovation-driven team culture. Education: Bachelor s degree in Computer Science, Information Technology, Finance, Economics, or a related discipline.

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.

Pipeline and GTM Senior Data Analyst Location: Bangalore, India About the Role Rubrik s Pipeline & GTM Strategy and Analytics team seeks a Senior Pipeline and GTM Data Analyst to ensure high-quality data for pipeline development, measurement, and operational efficiency. Reporting to the Senior Manager of Pipeline & GTM Strategy and Analytics, you will play a key role in pipeline analytics, dashboard creation, and providing operational support for the Sales Development Representative (SDR) team. Your analytical expertise will empower data-driven decisions to accelerate growth. Key Responsibilities SDR Operations Support: Support territory and quota planning to grow the Inside Sales organization and drive revenue. Analyze strategic funnel metrics and measure sales performance. Administer and optimize sales tools like Salesforce (SFDC), Outreach, ZoomInfo, LinkedIn Sales Navigator, and more. Enhance lead routing and customer-facing messaging processes. Collaborate with Sales, Marketing, and IT teams to improve lead qualification and pipeline growth. Use data-driven insights to improve Inside Sales functions, incorporating input from cross-functional teams such as Marketing and Finance. Analytics & Reporting: Build, prepare, and analyze reports to support pipeline analytics and special projects that drive pipeline growth (PG) attainment. Create and maintain real-time dashboards for actionable insights. Validate and ensure data quality for SDR and pipeline dashboards. Continuous Improvement & Innovation: Enhance data management processes for improved efficiency and accuracy. Stay current with industry best practices in data analytics and management. Implement new tools and techniques for better data preparation and validation. Cross-Functional Collaboration: Facilitate smooth communication between SDR Operations and Analytics teams. Provide accurate, timely data to all relevant teams for informed decision-making. Participate in team meetings, offering data-driven recommendations. Required Skills and Experience 5+ years in Sales Operations, Strategy, or a related analytical role. Bachelor s degree or equivalent practical experience. Strong communication skills (written and oral). Self-starter with the ability to work independently and collaborate across all business levels. Salesforce (SFDC) administration experience. Advanced proficiency in Microsoft Excel or Google Sheets, including complex modeling and robust analysis. Experience with Microsoft Office suite (Word, Excel, PowerPoint, Outlook). Skilled in data visualization tools such as Tableau, PowerBI, or similar. Comfortable managing and analyzing large datasets. Preferred: Experience with SQL and/or Python for data querying and automation. Rubrik (NYSE: RBRK) is on a mission to secure the world s data. With Zero Trust Data Security , we help organizations build resilience against cyberattacks, insider threats, and operational disruptions. Our AI-powered Rubrik Security Cloud protects data across enterprise, cloud, and SaaS applications, ensuring integrity, availability, and rapid business recovery.

Marketing Reporting Analyst (Night Shift 8:30 PM to 5:30 AM IST) Location: Bangalore, India Office About the Team At Rubrik, our Marketing Team is growing rapidly and plays a pivotal role in driving the company s mission to secure the world s data. We push boundaries, challenge convention, and thrive on innovative thinking. With a culture rooted in opportunity and empowerment, we bring bold ideas to life and deliver measurable impact. Join us in shaping a fresh perspective in the world of data security. Let s be unstoppable, together. About the Role This is a night shift position, supporting our global marketing initiatives and ensuring timely reporting and insights for the U.S. team. What You ll Do Data Analysis & Reporting Analyze marketing performance across digital (organic & paid), traditional channels, and campaigns. Build and maintain dashboards and performance reports using tools like Tableau and Google Sheets/Excel. Performance Measurement Partner with the Sr. Manager of Marketing Analytics to implement the performance measurement roadmap. Track and report key metrics: lead generation, conversion rates, campaign spend, marketing ROI. Insights & Optimization Identify data trends and deliver actionable insights to improve marketing strategy. Support A/B testing, multi-touch attribution, and budget monitoring efforts. Handle ad hoc reporting requests from stakeholders. Data Integrity & Collaboration Ensure high data accuracy and resolve data quality issues proactively. Collaborate with IT and Data Engineering to maintain best practices for database management. Work cross-functionally with Marketing, Sales, Data Science, and IT to align reporting practices and deliver business insights. Contribute to the development of attribution models for marketing impact assessment. What You ll Bring 4 5 years of experience in an analytical role (marketing, finance, or related field). Bachelor's degree in Finance, Accounting, Marketing Analytics, or a related discipline. Expertise in Excel and Google Sheets advanced formulas, pivot tables, and data visualization. Experience with Tableau or Power BI. Solid grasp of financial concepts and their application in marketing analysis. Familiarity with Salesforce and marketing automation platforms (e.g., Marketo, HubSpot) is a plus. Working knowledge of SQL and relational databases. Strong attention to detail and ability to manage multiple priorities and deadlines. Excellent verbal and written communication skills able to translate complex data for non-technical audiences. A growth mindset and a proactive, solutions-oriented approach to challenges. Be part of a mission-driven company at the forefront of data security. Work alongside industry innovators and contribute to a fast-scaling marketing function. Enjoy a collaborative environment where your insights directly influence business outcomes. Access growth opportunities in a company recognized by Gartner and awarded the Red Dot Design Award. About Rubrik Rubrik (NYSE: RBRK) is redefining data security with Zero Trust Data Security . We help organizations across the globe stay resilient in the face of cyberattacks, insider threats, and disruptions. Rubrik Security Cloud, powered by machine learning, secures data across hybrid and cloud environments, ensuring data integrity, availability, and rapid recovery.

Senior Data Analyst Location: Bangalore, India Office About the Team Rubrik s Legal Team plays a crucial role in securing the world s data by providing legal expertise across contracts, intellectual property, privacy, employment law, trade compliance, and litigation. The team fosters a culture of innovation, ownership, and collaboration as we build an iconic company. About the Role Rubrik s Legal Operations Team is looking for a skilled and motivated Senior Data Analyst to drive data-driven decision-making and operational efficiency. You will work closely with the Legal department to analyze, visualize, and report legal and compliance data, enabling strategic insights and process improvements. This role requires technical expertise and the ability to translate complex data into actionable business intelligence. Key Responsibilities Collect, analyze, and interpret legal and compliance data from various sources. Develop and maintain dashboards and reports using tools like Snowflake, Tableau, Smartsheets, PowerPoint, and Google Sheets. Track compliance initiatives and identify trends, risks, and improvement opportunities. Collaborate with Legal teams to define KPIs and metrics. Present data insights clearly to stakeholders to guide strategic decisions. Ensure data quality, integrity, and regulatory compliance. Support process optimization initiatives within Legal Operations. Manage reconciliation, validation, and data integrity tasks for critical legal projects. Create executive-level presentations demonstrating data trends and business impacts. Experience and Skills Required 5-8 years of experience in data analytics, preferably supporting legal, compliance, or operations teams. Proficiency in SQL, Tableau, Smartsheets, Excel, PowerPoint, and GSuite. Experience with case management systems and compliance datasets is a plus. Bachelor s degree in Data Science, Business Analytics, Computer Science, Finance, or a related field. Strong analytical skills with the ability to interpret large datasets and provide actionable insights. Excellent written and verbal communication skills, with experience presenting to cross-functional teams and executives. Familiarity with legal and compliance standards preferred but not mandatory. Detail-oriented with strong project ownership and process improvement mindset. Join Us in Securing the World's Data Rubrik (NYSE: RBRK) is on a mission to secure the world s data. Our Zero Trust Data Security platform leverages machine learning to safeguard data across enterprise, cloud, and SaaS applications helping businesses stay resilient against cyberattacks and operational disruptions. Qualification : Bachelors degree in Data Science, Business Analytics, Computer Science, Finance, or a related field.

Data Scientist Experience: 5+ Years Location: Bangalore, Karnataka, India Job Type: Full Time Job Summary We are seeking an experienced Data Scientist with over 5 years of expertise to join our innovative team in Bangalore. The ideal candidate will have hands-on experience in advanced statistical methods, machine learning, and deep learning frameworks, combined with strong skills in deploying models at scale. Key Responsibilities Apply advanced Statistics and Operations Research methods to solve complex business problems. Develop and deploy predictive and machine learning models using frameworks such as PyTorch, TensorFlow, Keras, and XGBoost. Utilize data engineering and big data tools including PySpark, Databricks, and Flask for building scalable data solutions. Implement and fine-tune NLP models like RNN, LSTM, and attention-based architectures, leveraging pre-trained models from Stanford, IBM, Azure, and OpenAI. Design and optimize efficient SQL queries to extract data from large databases. Work with visualization tools like D3.js, Dash Plotly, and deploy interactive dashboards using Streamlit. Utilize graph databases such as Neo4j for complex data relationships. Manage version control with tools like GitHub or Bitbucket. Deploy machine learning models into production environments using MLOps practices on cloud platforms such as AWS or Azure. Required Skills 5+ years of professional experience as a Data Scientist or similar role. Strong foundation in statistics, machine learning, and deep learning techniques. Proficient in Python-based data science libraries and frameworks. Hands-on experience with cloud-based MLOps and deployment. Excellent SQL skills for data extraction and manipulation. Experience with version control systems and collaborative development. Familiarity with NLP techniques and modern pre-trained language models. Strong problem-solving and communication skills. Qualifications Any graduate degree in Computer Science, Statistics, Mathematics, Engineering, or related field. Join a forward-thinking company in Bangalore, where you will work with cutting-edge technologies to create impactful data-driven solutions. Grow your career in an environment that values innovation, diversity, and continuous learning.

Job Title: Data Science Manager Location: Bengaluru, Karnataka, India Department: Data Science Experience: 6 8 Years Employment Type: Full-Time About CloudSEK CloudSEK is one of India s most trusted cybersecurity product companies, building world-class AI-driven platforms to detect and resolve digital threats in real-time. Our suite of products XVigil, BeVigil, and SVigil serve Fortune 500s and government bodies across the globe. Headquartered in Singapore and expanding rapidly across Asia, India, and the Americas, CloudSEK s mission is to create a safer digital ecosystem through contextual threat intelligence and proactive security. Role Overview: Data Science Manager (Marketing Mix Modeling) We are looking for a highly analytical Data Science Manager with specialized experience in Marketing Mix Modeling (MMM) to lead data-driven strategic initiatives. You will be responsible for delivering predictive models that evaluate the impact of marketing investments and optimizing ROI. The role involves direct engagement with cross-functional teams, including marketing, finance, and strategy, to influence key business decisions. Key Responsibilities Project Management & Delivery: Collaborate with Engagement Managers, Account Delivery Managers, and client stakeholders to define and refine business requirements. Develop detailed project plans that align with business goals and delivery timelines. Lead end-to-end execution of MMM projects, monitoring milestones, scope, and quality. Host internal scrum meetings and external Weekly Business Reviews (WBRs) with clients. Ensure all deliverables codes, dashboards, presentations meet quality standards and timelines. Report on delivery scorecard metrics and implement corrective action plans to improve performance. Data Science & Modeling: Design and develop Marketing Mix Models (MMM) to assess the effectiveness of marketing channels. Apply advanced techniques in predictive modeling, machine learning, and linear regression. Interpret model outputs to guide media planning, budget allocation, and strategic forecasting. Stay up-to-date with evolving methodologies and tools in data science and ML. Team Leadership & Coaching: Assign tasks based on team members strengths and monitor performance. Provide both business and technical mentorship, guiding team members through challenges. Build a high-performance, collaborative, and innovative delivery environment. Encourage experimentation and ownership within the team. Required Skills & Qualifications Technical Skills (Must-Have): Expertise in Marketing Mix Modeling (MMM) and predictive analytics. Advanced proficiency in machine learning, statistics, and data interpretation. Working knowledge of Python and SQL for data manipulation and model development. Intermediate experience with project management tools and methodologies (Agile/Scrum). Familiarity with MS Excel, PowerPoint, and data visualization tools. Soft Skills: Strong business acumen with the ability to translate insights into financial and strategic impact. Excellent communication skills for interacting with mid-level to senior stakeholders. Strong leadership and interpersonal skills: coaching, conflict resolution, and negotiation. Ability to balance perfection and pragmatism when delivering real-world solutions. Preferred Educational Background: Bachelor s degree in Engineering, Statistics, Mathematics, Computer Science, or a related technical field. Candidates with non-technical degrees must demonstrate strong technical aptitude through prior work experience. Impactful Work: Build models that influence multi-million-dollar marketing decisions. Collaborative Culture: Work alongside a high-energy, motivated, and diverse team. Growth Opportunities: Drive meaningful outcomes with room to experiment and lead. Work-Life Balance: Enjoy flexible working hours, a relaxed work environment, and plenty of snacks! Location: Work out of our energetic and innovation-driven Bengaluru office.

Lead Data Engineer | ThoughtWorks | Bangalore, India Location: Bangalore, India Employment Type: Full-time, Regular Industry: Information Technology About ThoughtWorks At ThoughtWorks, we're a global technology consultancy that integrates strategy, design, and engineering to drive digital innovation. For over 30 years, we've worked alongside our clients to deliver solutions that challenge the status status quo. With a diverse and inclusive team, we empower each other to grow through shared learning, fostering an environment where innovation thrives. Our commitment to a cultivation culture is key to our success, and we re looking for a Lead Data Engineer to join our Bangalore team and lead transformative projects. Job Overview As a Lead Data Engineer at ThoughtWorks, you will be responsible for designing, developing, and operating modern data architectures that meet client business objectives. You will lead and manage data engineering projects end-to-end, from strategic planning to hands-on coding, ensuring the delivery of scalable and efficient data solutions. Working with cutting-edge technologies, you ll collaborate with stakeholders, clients, and cross-functional teams to implement data-driven strategies that address complex business challenges. Key Responsibilities Project Leadership: Lead and manage data engineering projects from inception to completion, including goal-setting, scope definition, and ensuring on-time delivery in collaboration with cross-functional teams. Data Architecture & Solution Design: Collaborate with clients to design modern data architecture and implement end-to-end solutions that meet key business objectives. Create intricate data processing pipelines to address complex business problems. Stakeholder Collaboration: Work closely with stakeholders to understand business objectives and identify opportunities to leverage data and data quality improvements. Data Modeling & Governance: Develop data models using modern modeling techniques and implement them using appropriate technologies. Ensure compliance with data governance, security, and privacy requirements. Scalable Implementations: Partner with data scientists to design scalable implementations of their models, ensuring the solutions are robust and efficient. Clean, Iterative Code: Write clean, modular code based on TDD (Test-Driven Development) and implement continuous delivery practices to support and operate data pipelines. Technology Guidance: Advise clients on distributed storage and computing technologies, selecting the best options to fit their business needs. Data Quality Strategy: Define and incorporate data quality strategies into daily work processes to ensure high standards and compliance. Job Qualifications Technical Skills: Proven experience in data engineering and system design, with a focus on building Big Data architecture and data pipelines within distributed systems. Deep knowledge of data modeling and hands-on experience with modern data engineering tools and platforms. Strong programming skills, with expertise in building scalable, high-quality data pipelines using languages like Python, Java, Scala, or others. Experience with distributed storage platforms (e.g., Hadoop, Amazon S3, etc.) and distributed processing platforms (e.g., Spark, Flink). Experience working with SQL, NoSQL, data lakes, and other data storage technologies. Familiarity with data visualization techniques and ability to communicate insights effectively across varying audiences. Professional Skills: Stakeholder Management: Strong ability to liaise between clients and other key stakeholders, ensuring trust and buy-in throughout projects. Adaptability & Resilience: Comfortable handling ambiguity and finding innovative solutions to complex challenges. Leadership & Mentorship: Experienced in coaching and mentoring team members, fostering a culture of professional growth and accountability. Risk & Conflict Management: Skilled in managing risks and resolving conflicts, driving projects forward despite challenges. Relationship Building: Natural at cultivating strong relationships with clients, stakeholders, and internal teams to create new opportunities. What You Bring to the Team Leadership: A proven track record in leading high-performance teams and supporting colleagues in their professional development. Curiosity & Innovation: A passion for data and technology and a willingness to continually learn and push the boundaries of what's possible. Collaboration: Ability to work closely with cross-functional teams and stakeholders to design and implement innovative data solutions. At ThoughtWorks, we believe in giving you the autonomy to carve out your unique career path, while providing support through development programs and a vibrant culture of learning. You ll work on exciting projects with a diverse team, solve complex challenges, and make an impact at a global scale. Join ThoughtWorks and be part of a global community of innovators. Together, we turn curiosity into action and creativity into impactful solutions.

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.

PeopleSoft Application Specialist Location: Bengaluru, Karnataka, India / Hyderabad, Telangana, India Job Category: Support Experience Required: 6 to 10+ years Job Description: As a PeopleSoft Application Specialist, you will play a key role in supporting PeopleSoft applications and modules, including FSCM, HCM, and Campus Solutions. You will be working with clients, project leads, and PMs to understand goals, requirements, and challenges, then designing and implementing business and technical solutions. This is a client-facing role, and your focus will be on delivering high-quality services, troubleshooting, and ensuring that PeopleSoft modules are functioning optimally during the implementation and post-go-live phase. You will be responsible for overall delivery quality, ensuring that the team aligns with standard practices and methodologies. Your expertise in PeopleSoft modules and hands-on experience with upgrades and migrations will be essential for success in this role. Responsibilities: PeopleSoft Modules: Work with modules such as Asset Management, Expenses, Inventory, Supplier Contracts, Customer Contracts, Payables, General Ledger, Projects, Grants, Billing, Receivables, Time and Labor, Absence Management, NA/Global/US Payroll, Core HR, Recruiting, and more. Troubleshooting: Diagnose and resolve PeopleSoft-related issues, ensuring the accuracy of business systems. System Testing & Acceptance Criteria: Develop test plans and acceptance criteria for the PeopleSoft applications. Application Services: Provide PeopleSoft Application Managed Services, troubleshoot issues, and help stabilize the applications during and after the go-live phase. Client Communication: Communicate effectively and proactively with Project Managers, Team Members, and Client Business Users. Enhancements & Improvements: Work with business users to identify possible improvements in customized objects or processes. Consulting & Analysis: Analyze business requirements, perform fit/gap analysis, and write functional/technical specifications. Interface Design: Experience in designing and maintaining interfaces with external systems and vendors. Hands-On Development: Work with PeopleCode, Application Engine, AWE, Component Interface, Integration Broker, SQR, BI Publisher. Upgrades: Experience with PUM upgrades, tools upgrades, and application migrations. Documentation & Testing: Proven skills in creating testing scripts, test execution, and quality assurance processes. Requirements: Education: BS or MS in Computer Science or related fields. Experience: 8+ years of hands-on PeopleSoft Functional experience, with proficiency in at least 5 PeopleSoft modules. Technical Skills: Strong experience with PeopleSoft tools such as PeopleCode, PeopleTools, Application Engine, and more. Healthcare Industry Experience: Preference for candidates with experience in a healthcare industry environment. Communication: Excellent written and verbal communication skills. Shift Work: Ability to work in shifts, including night shifts. Relocation: Open to relocation to either Bangalore or Hyderabad. Onsite Travel: Willingness to travel onsite (U.S.A) as required. Teamwork: Must be a strong team player with the ability to work independently. Diversity & Inclusion: Oracle is committed to an inclusive workforce that values diverse insights and perspectives. Oracle offers a highly competitive suite of employee benefits, including medical, life insurance, retirement planning, and more. Our inclusive culture encourages thought leadership, innovation, and collaboration across teams, ensuring that every voice is heard and valued. Qualification : BS or MS in Computer Science or related fields.

Job Title: Software Developer Location: Bengaluru, India Company: IBM Consulting Introduction A career in IBM Consulting is built on long-term relationships and close collaboration with clients across the globe. As a part of our team, you will work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative companies in the world. Your ability to accelerate impact and drive meaningful change for clients is enabled by our strategic partner ecosystem and robust technology platforms across the IBM portfolio. In this role, you ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we offer deep technical expertise to public and private sector clients worldwide. Our centers provide locally based skills and technical expertise, driving innovation and adoption of cutting-edge technology. Role and Responsibilities As a Software Developer, you will be a key part of the software development lifecycle, participating in design, code implementation, testing, and ongoing support. Your efforts will contribute to creating solutions that accelerate your clients' hybrid cloud and AI journeys. Your primary responsibilities include: Proficient Software Development with Microsoft Technologies: Demonstrate your expertise in Microsoft technologies, delivering high-quality code and ensuring efficient application performance. Collaborative Problem-Solving and Stakeholder Engagement: Work closely with stakeholders to understand product requirements, proactively addressing challenges with innovative software solutions. Agile Learning and Technology Integration: Stay updated with the latest Microsoft technologies, continuously learning and integrating new knowledge to improve development processes and product features. Required Education Bachelor s Degree in Computer Science or a related field. Preferred Education Master s Degree in Computer Science or a related field (preferred but not required). Required Technical and Professional Expertise Microsoft Power Platform Expertise: Drive Power Platform implementations through all project phases, including discovery, definition, build, testing, and deployment. Experience with Microsoft Power Platform: 3 to 4 years of experience designing Power Platform implementations using best practices and governance standards. Hands-on Experience with Power Platform Suite: Expertise in using the Microsoft Power Platform suite (Power Apps, Power BI, Power Pages, Power Automate, Virtual Agents, AI Builder in Power Apps), and extending/customizing Microsoft apps and services like Teams, Dynamics 365, Excel, and Word. Custom Business Apps Development: Experience designing and developing custom business apps such as Canvas Apps, SharePoint Form Apps, Model Driven Apps, and Power Pages. Microsoft Dataverse Expertise: Hands-on experience working with Microsoft Dataverse to manage and store data for apps built on the Power Platform. Preferred Technical and Professional Experience Advanced Microsoft Power Platform Suite Experience: Extensive experience with the full Microsoft Power Platform suite (Power Apps, Power BI, Power Automate, Virtual Agents, AI Builder) to design, develop, and deploy solutions. Custom App Development Expertise: Additional experience in designing and developing custom apps for business processes, extending Microsoft services and integrating new business functionalities. Data Integration and Management: Proficient in utilizing Microsoft Dataverse for data management and integration within business applications. About IBM Consulting IBM Consulting is a global leader in business and technology transformation, offering innovative services across strategy, experience, technology, and operations. With deep industry expertise, we partner with the most valuable companies in the world to help them evolve and drive growth. At IBM Consulting, we believe in the responsible use of technology to help people, partners, and the planet. Qualification : Masters Degree in Computer Science or a related field (preferred but not required).

Azure Data Engineer IBM Consulting Client Innovation Center Location: Bengaluru, India Experience: 7+ Years (Minimum 4+ Years in Azure Technologies) Job Type: Full-Time Education Required: Bachelor s Degree (Master s preferred) Introduction: Join IBM Consulting at our Client Innovation Center in Bengaluru, where we deliver deep technical and industry expertise to a wide range of public and private sector clients. Our delivery centers focus on innovation, agility, and adoption of next-gen technologies to transform businesses locally and globally. Your Role & Responsibilities: Design and develop scalable data engineering solutions on Microsoft Azure. Build, optimize, and manage data pipelines and ETL workflows using tools like Azure Data Factory, ADLS, and Databricks. Write clean, efficient code using PySpark, PL/SQL, and Spark SQL. Integrate and manage data from various sources, both structured and unstructured. Work with SQL, Postgres, Cassandra, and Cosmos DB. Utilize Azure services such as Stream Analytics, SQL DW, Azure Functions, ARM Templates, and Analysis Services. Implement and maintain serverless architectures for modern data solutions. Ensure high-quality data delivery, security, and compliance across systems. Collaborate across teams and contribute to solution design, code reviews, and documentation. Required Skills & Experience: Bachelor s degree in Computer Science, Information Systems, or related technical field. 7+ years total experience in Data Engineering, with 4+ years in Azure-based data projects. Strong hands-on experience with: Azure Data Factory, Data Lake (ADLS), Databricks Programming: Python, PySpark, PL/SQL, Spark SQL Databases: SQL, Postgres, Cassandra, Cosmos DB Solid grasp of data warehousing, relational databases, and cloud-based architectures. Familiarity with version control tools like Git and CI/CD pipelines. Preferred Skills & Qualifications: Master s Degree in a relevant field. Experience with: ARM Templates, Azure Functions, Serverless Architectures Object-oriented scripting languages (Python, Scala, etc.) Excellent problem-solving and communication skills. Ability to work in a fast-paced environment and collaborate effectively with teams and stakeholders. What You ll Get: Work on high-impact, global projects with cutting-edge Azure technologies. Be part of a collaborative and forward-thinking IBM team. Opportunities for professional growth, upskilling, and certifications. A dynamic work culture focused on innovation, agility, and client success. Join us in Bengaluru and be part of IBM s journey in shaping the future of data engineering. Qualification : Bachelors degree in Computer Science, Information Systems, or related technical field.

Job Title: Data Scientist Location: Bengaluru Experience: 4+ Years About Linarc: Linarc is revolutionizing the construction industry. As the emerging leader in construction technology, we are redefining how projects are planned, executed, and delivered. Built for general contractors, construction managers, and trade partners, Linarc offers a next-generation platform that delivers unmatched collaboration, automation, and real-time intelligence to construction projects. Our mission is to eliminate inefficiencies, streamline workflows, and drive profitability, empowering teams to deliver projects faster, smarter, and with greater control. Join us in shaping the future of construction tech. If you thrive in a dynamic, fast-growing environment and want to make a significant impact, Linarc is the place for you. This is a full-time position based in Bengaluru. Roles and Responsibilities: Data Analysis & Modeling: Develop and implement machine learning models to address complex business problems. Build predictive models and algorithms to forecast customer behavior, product usage, and business outcomes. Conduct statistical analysis and hypothesis testing to uncover key insights and trends. Data Engineering & Processing: Clean, preprocess, and transform large-scale datasets from multiple sources. Design and optimize data pipelines for both real-time and batch processing. Business Insights & Reporting: Collaborate with business teams to define key performance indicators (KPIs). Develop dashboards and reports to effectively communicate findings and business performance. Present actionable insights and recommendations to stakeholders and leadership teams. Product Improvement: Partner with product managers to integrate data-driven insights into product features. Monitor model performance and continuously improve accuracy and scalability. Run A/B tests to evaluate the impact of product changes and optimize user experience. Research & Development: Stay updated with the latest developments in machine learning, artificial intelligence, and data science. Explore and implement new techniques and tools to drive innovative solutions and improve outcomes. Qualifications: Minimum Experience: 3 years of professional experience in Data Analytics, Data Science, AI, or Machine Learning. Technical Expertise: Deep analytical expertise in applying statistical solutions to business problems. Experience with exploratory data analysis of large datasets using tools like SQL, Hive, Spark, or similar. Proficiency in machine learning and deep learning tools such as Scikit-learn, TensorFlow, PyTorch, and familiarity with techniques like Neural Networks, Gradient Boosting, Logistic Regression, Decision Trees, Random Forests, Support Vector Machines, Clustering, etc. Experience working with visualization tools such as Tableau and Power BI. Business & Innovation: Demonstrated ability to innovate solutions and solve business problems using data science techniques. Desirable Additional Experience: 4+ years of experience in data science or machine learning in a product-focused environment. Experience working with relational or document databases. Proficiency in C, Python, PyTorch, Java, JavaScript, Node.js, React.js, or Vue.js. Strong knowledge of hypothesis testing and regression analysis. Experience in a SaaS product environment. Educational Qualifications: Bachelor s/Master s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.

Job Description You are a strategic thinker passionate about driving solutions in Analytics Solutions. You have found the right team. As an Analytics Solutions Associate in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. You will be responsible for the design, implementation and execution of end-to-end processes supporting U.S. Regulatory Reporting including Consolidated, Capital, Standalone and CCAR/DFAST reporting, regulatory reporting training and exam management. Additionally, FRRA drives broader strategic initiatives across external reporting including accountability, error and issue management, manual adjustments, variance analysis, quality assurance and the target U.S. Regulatory Reporting platform. The FRRA Innovation team sits within FRRA and is responsible for leading the development and implementation of Business Intelligence, Data Analytics and Intelligent automation solutions, identifying and delivering process automation and technology innovation, supporting the reporting production close, and helping to define and design multi-year business infrastructure strategy. Job Responsibilities Implement process automation solutions across the business using Business Intelligence tools. Drive process discovery through partnerships with key stakeholders in the business. Follow established project lifecycle from end to end to deliver timely, efficient, and fit-for-purpose solutions. Engage partners such as FRRA process owners, Center of Excellence teams, and Control partners through established forums. Assist with various aspects of project management including development of project plans, task management, design, testing scenarios and analysis, implementation, and procedural / operating model documentation. Collaborate with system / data owners and business project teams to improve overall data quality and implement tactical solutions to automate repetitive, manual data clean-up and aggregation work. Develop expertise in existing and future strategic data source systems to streamline and improve information content, transparency, and delivery. Communicate summary of analysis and findings thoroughly and succinctly (summary of facts, data sources, analyses performed, conclusions, and recommendations) to various stakeholders, including executive leadership and participate/lead Innovation forums. Stay up-to-date with industry trends and best practices in process automation, analytics, and innovation. Required Qualifications, Capabilities, and Skills Minimum 3 years experience in design and delivery of analytics, reporting and process automation solutions. Advanced data transformation skills using Alteryx and/or Python. Experience with data visualization tools (e.g., Tableau, Power BI) and analytics platforms. Strong project management skills with the ability to manage multiple projects simultaneously. Good analytical and presentation skills. Willingness to learn and adopt new cutting edge technologies, toolsets and techniques. Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse teams. Preferred Qualifications, Capabilities, and Skills Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field. Finance experience a plus. Certifications in process automation or data analytics. Knowledge of SQL and/or RPA tools like UIPath. Experience with process review, discovery and reengineering. Understanding of workflow automation tools such as Pega or ServiceNow. Experience in a similar role within a fast-paced, innovative environment. About Us JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. Qualification : Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field. Finance experience a plus.

Job Title: Customer Success Services - Oracle SaaS/HCM/Cloud Analyst - Lead Career Level: IC3 Position Overview: As a member of Oracle s Support organization, you will be responsible for providing post-sales support and solutions to Oracle customers. Your focus will be on resolving complex, non-technical customer inquiries, as well as providing technical troubleshooting for Oracle's Electronic Support Services. Acting as a primary point of contact for customers, you will manage customer relationships and offer assistance to internal Oracle teams regarding customer situations and escalated issues. Key Responsibilities: Customer Support: Act as the primary contact for Oracle customers, assisting them with complex technical and functional queries related to Oracle Fusion HCM products, including Core HR, Absence, Benefits, Extracts, HDL Loader, Workflow, BI Publisher, and Oracle Integration Cloud. Incident Management: Track, diagnose, replicate, and resolve critical and complex cases, ensuring total resolution of service incidents. Customer Success: Advise customers on the complex use of Oracle products, providing tailored solutions and resolving critical issues. Situation Management: Take ownership of highly sensitive and critical customer issues, working directly with customers and consulting with management to drive resolution. Knowledge Sharing: Share your knowledge with teammates by delivering formal training sessions, creating and reviewing Knowledge Articles, and mentoring others to promote technical and professional development. Collaboration: Work closely with internal teams to address escalated customer issues and contribute to improving internal processes and solutions. Qualifications: Must-Have Skills: 6-10 years of experience in the implementation, support, or upgrade of Oracle SaaS HCM products, with at least one implementation experience in Core HR, Absence, Benefits, Extracts, HDL Loader, Workflow, BI Publisher, and Oracle Integration Cloud. Hands-on configuration experience with at least three or more tools: HCM Extracts HCM Data Loader (HDL) Payroll Batch Loader (PBL) Workflow BI Publisher Fast Formula Personalization PL/SQL Strong knowledge of Fusion Cloud architecture, setup manager, and activities. Experience with FBDI and OTBI report development. Knowledge of integrating external data sources into Oracle Fusion Applications. Familiarity with localizations and security setup is a plus. Nice-to-Have Skills: Experience with Oracle Core HR, Absence, Benefits, and Payroll in Release 12.1.3.x / 12.2.x. Experience working in L1/L2/L3 support environments. Ability to analyze and decipher software logs and trace files to troubleshoot issues. Hands-on experience with XML, Java, J2EE, Oracle ADF, SOA, and Web Services. Strong functional/product expertise, with the ability to relate Oracle s functionality to business processes. Additional Skills: Effective analytical and organizational skills. Strong verbal and written communication skills in English; multilingual skills are a plus. A proactive learning orientation, staying up-to-date with emerging business models, processes, and Oracle product solutions. Experience in Managed Services, including client relationship management, offshore delivery management, project/program management, and successful delivery of KPIs. Ability to work in rotational shifts, manage a large team, and ensure SLAs are met for both EBS and Cloud/SaaS customers. Education & Experience: B.S. (Computer Science), BE, or equivalent preferred. Other qualifications with adequate experience may also be considered. Qualification : B.S. (Computer Science), BE, or equivalent preferred.

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: Sr. Data Engineer Job Overview: We are seeking an experienced Technical Data Engineer / ELT Developer with expertise in Snowflake to manage data ingestion and transformation. The ideal candidate will work with an offshore team to deliver scalable data solutions aligned with business and performance requirements. Key Responsibilities: Design, build, and maintain ELT pipelines using Snowflake. Lead offshore development teams in applying data engineering best practices. Collaborate with stakeholders to manage data integration across systems. Optimize data pipelines for performance and reliability, including query tuning and resource management. Implement data validation processes to ensure data accuracy. Document data pipelines, flow diagrams, and transformation logic. Troubleshoot pipeline failures and resolve performance issues. Ensure compliance with data governance and regulatory requirements. Required Qualifications: 5+ years of experience in data engineering with a focus on ELT development. Strong expertise in Snowflake, including data sharing, secure views, and performance optimization. Proficiency in SQL and data integration tools. Experience managing offshore development teams. Strong problem-solving and communication skills. Preferred Qualifications: Snowflake certification or relevant certifications. Experience in financial services with knowledge of data security and compliance. Familiarity with cloud platforms (AWS, Azure) and orchestration tools like Apache Airflow. Experience with Python or JavaScript for data transformation. Knowledge of data visualization tools like Tableau or Power BI.