Data Reporting Jobs in Bengaluru

Job Title: Business Analyst Granite Location: Bengaluru Company: Altisource About Altisource At Altisource, we thrive in a fast-paced, collaborative environment where innovation meets impact. If you're a self-motivated, quick learner who enjoys working both independently and in teams and you're passionate about data, automation, and creating business value we d love to meet you! We re currently seeking a Business Analyst to join our Granite team, focusing on data analysis, configuration, and financial operations. This is an exciting opportunity to contribute to a growing, stable organization and build a meaningful career. Key Responsibilities Data Analysis & Reporting Execute complex data queries and generate reports using SQL. Analyze operational and financial data to support business strategy. Create insights using Excel, Power Query, and other reporting tools. Billing & Financial Operations Manage invoicing, billing, and reconciliation in coordination with the Accounting team. Maintain accurate financial records and ensure compliance with internal processes. Apply basic accounting principles in financial workflows. Documentation & Process Management Create and maintain business documentation, process manuals, and reports. Edit and format PDFs to align with company standards. Organize operational data and financial records for easy access. Client Engagement & Onboarding Work directly with clients to gather business requirements. Support onboarding and ensure a smooth integration process. Translate client needs into functional product workflows and features. Automation & Efficiency Develop automation tools using VBA, Power Query, and other platforms. Continuously seek ways to streamline processes and improve productivity. Cross-Functional Collaboration Partner with technology and business teams to deliver solutions. Communicate effectively with stakeholders, including senior leadership. Design process flows (Visio) and prepare executive presentations (PowerPoint). Qualifications Bachelor s degree in Business Administration, Engineering, Computer Science, Finance, Accounting, or a related field. 3+ years of experience in business analysis, product management, or operations. Hands-on experience managing IT projects and system integrations. Proficient in SQL, Excel, Word, Visio, and PowerPoint. Knowledge of financial systems, databases, and BI tools. Preferred Skills Strategic thinker with strong problem-solving skills. Excellent communication and stakeholder management abilities. Strong documentation and organizational skills. Experience with SaaS platforms and financial data handling is a plus. Join us and be part of a team that values innovation, integrity, and impact. Qualification : Bachelors degree in Business Administration, Engineering, Computer Science, Finance, Accounting, or a related field

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 Data Business Partner Location: Bengaluru Department: Data & Analytics Experience: Senior-level Company: OSB India (Offshore subsidiary of OSB Group) About OSB India: OSB India (OSBI) is a wholly owned offshore subsidiary of OSB Group, a leading UK financial services provider. Established in 2004, OSBI delivers exceptional customer support and operational services to the Group s UK brands. Known for driving process excellence, innovation, and functional efficiencies, OSBI is a key strategic arm supporting the Group s long-term goals. Role Overview: We are looking for a Senior Data Business Partner to bridge the gap between business and data analytics. In this role, you will collaborate with business leaders to identify analytical needs, design data-driven solutions, and drive adoption of data across the organization. This is a high-impact role requiring strong analytical acumen, stakeholder management skills, and a passion for delivering insights that support strategic decision-making. Key Responsibilities: Build trusted relationships with business stakeholders to understand their data needs and priorities. Collaborate cross-functionally to translate complex business challenges into data solutions. Lead in-depth analysis using market-standard algorithms and modelling techniques. Ensure adherence to Data Governance standards, policies, and controls. Deliver timely, accurate, and well-documented data content and insights. Advise on analytics delivery planning across projects and business functions. Enable self-service analytics by training business users on available tools and platforms. Advocate and implement innovations in AI, Machine Learning, and data analytics. Partner with Data Engineering and Architecture teams, ensuring adherence to technical standards and best practices. Present findings and strategic insights to senior management and governance forums. Mentor team members on analytical approaches and best practices. Promote a culture of continuous improvement, innovation, and high-quality data usage. Champion the use of central data repositories, relational models, and the Data Warehouse to deliver consistent and reliable BI outputs. Identify risks related to data or projects and escalate when necessary. Support internal training efforts to improve data literacy across departments. Ensure compliance with Risk Management and Data Governance policies. Stay current on industry trends, tools, and technologies to enhance analytics capability. Candidate Profile: Qualifications: Bachelor s or Master s degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field. Certifications in data analytics, data science, or relevant tools/platforms are a plus. Experience: 6+ years in a business-facing data analytics role, ideally within financial services or technology. Strong experience in data analysis, modelling, and data storytelling. Proven ability to work with senior business stakeholders and executive teams. Experience in mentoring and leading analytics professionals. Demonstrated expertise in translating business needs into actionable insights. Technical Skills: Proficiency in tools such as Power BI, Tableau, SQL, Python/R, or Excel for data analysis. Familiarity with data warehousing, ETL processes, and relational databases. Understanding of data governance, risk, and compliance frameworks. Exposure to AI/ML applications in business contexts is a strong advantage. Behavioral Competencies: Excellent communication and presentation skills. Strong business acumen with the ability to drive value from data. Strategic thinking with a problem-solving mindset. Collaborative, adaptable, and proactive. At OSBI, we believe in empowering individuals to grow both personally and professionally. Whether you re early in your career or a seasoned expert, we provide an inclusive and supportive environment to help you thrive. Be a part of a connected organization where your contributions make a difference and your career is a journey, not a destination. Qualification : Bachelors or Masters degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field

Job Title: Circle Head Wireline Deployment Location: Bangalore Function: Network Wireline Homes Deployment Employee Type: Full-Time Experience Required: 12 to 15 Years Purpose of the Role The Circle Head Wireline Deployment is responsible for end-to-end execution of fiber rollout and transmission ISP implementation to meet internal and external bandwidth demands. The role ensures robust and scalable network deployment to support business growth across Mobility, FTTH, FTTB, and B2B services. This includes managing multi-functional teams, vendor operations, digitization tools, and government clearances for fiber infrastructure development. Key Responsibilities Fiber Rollout & Network Implementation Oversee the execution of fiber rollout projects (Intercity/Intra-city, FTTH, NLD, LMC) with a focus on quality, timeliness, and compliance. Ensure successful delivery of Home-passes and LM fiber for business segments such as FTTH, B2B, and Mobility. Drive 100% Acceptance Testing (AT) for deployed fiber kilometers/LMs. Network Infrastructure & Optimization Lead the implementation and capacity expansion of critical network elements (Core/Collector/OLT) as per transmission plans. Ensure alignment of new deployments with customer bandwidth needs and long-term scalability. Vendor & Program Management Manage vendor performance, coordinate execution plans, and ensure delivery against project timelines. Optimize material consumption and reduce inventory with effective coordination between SCM, stores, and implementation partners. Regulatory Compliance (ROW) Facilitate Right of Way (ROW) permissions through liaison with government authorities and partners. Validate and process commercial payments, track security deposits, and ensure proper documentation and recovery. Digitization & Process Enhancement Drive the adoption and integration of tools like Fiber Force App and GIS systems for real-time fiber tracking, monitoring, and data reporting. Set KPIs and performance metrics to ensure visibility, accountability, and continuous improvement. Stakeholder Management Build and maintain collaborative relationships with cross-functional teams (Planning, NOC, Marketing, Mobility, FTTH Planning, etc.) to ensure seamless network deployment. Act as a key liaison for internal teams and external stakeholders to facilitate project success. Qualifications & Experience Educational Qualification: B.E./B.Tech in Electronics, Telecommunications, or relevant engineering stream. Experience: 12 15 years of proven experience in OSP/ISP deployment within Transport, FTTH, and MPLS Networks. Project Management: Must have handled large-scale fiber deployment projects with team and vendor oversight. Key Competencies Deep understanding of telecom infrastructure and deployment models. Strong leadership with team motivation, decision-making, and vendor management skills. Excellent communication and interpersonal skills to influence stakeholders and resolve field-level challenges. Proficiency in handling digital monitoring tools and driving operational digitization. Qualification : B.E./B.Tech in Electronics, Telecommunications, or relevant engineering stream

Position: Data Scientist (AI/ML Expert) Location: Pritech Park SEZ, Block 09, 4th Floor B Wing, Survey No. 51 to 64/4, Outer Ring Road, Bellandur V, Bangalore, Karnataka, India Department: Advanced Analytics Employment Type: Subexian Experience Required: 1 to 3 years Job Overview: We are looking for a talented Data Scientist with expertise in AI/ML to join our Advanced Analytics team. As a key contributor, you ll design, develop, and validate predictive models, recommendation systems, and forecasting solutions, while also collaborating with cross-functional teams to deliver cutting-edge solutions using the latest technologies. Key Responsibilities: Model Development: Design, develop, and validate predictive models, recommendation systems, and forecasting solutions using a mix of statistical, machine learning, and deep learning techniques. You will work both independently and as part of a collaborative team. Data Visualization & Reporting: Communicate actionable insights effectively through compelling dashboards, reports, and visualizations using tools such as Superset, Power BI, and Python libraries (Matplotlib, Seaborn, Plotly). AI & Tech Solutions: Collaborate with teams to design and deliver flexible, scalable solutions using advanced technologies such as AI and large language models (LLMs). API Development: Develop and integrate REST APIs and frameworks such as Flask or FastAPI for seamless deployment of machine learning models. Documentation: Maintain clear, comprehensive documentation for data workflows, model development, and analytical methodologies to ensure knowledge sharing and transparency across teams. Continuous Learning: Stay up-to-date with the latest trends and advancements in data science, algorithms, and technologies, ensuring your skills and knowledge remain cutting-edge. Required Technical Skills: Python Proficiency: Strong experience with Python and libraries like Scikit-learn, TensorFlow/PyTorch, and data visualization libraries (Matplotlib, Seaborn, Plotly). SQL: Solid hands-on experience in SQL for efficient data querying. ML Ops & Pipelines: Understanding of machine learning operations (ML Ops) and ML pipelines for streamlined model deployment. Cloud & Distributed Computing: Exposure to cloud platforms such as AWS, Azure, or GCP and distributed computing tools like Hadoop, Spark, or Pyspark is a plus. Soft Skills: Effective Communication: Strong ability to communicate complex analytical findings in a clear and engaging manner, tailoring insights for both technical and non-technical audiences. Problem-Solving: A proactive problem-solver with the ability to adapt and thrive in a fast-paced, dynamic environment. Continuous Growth: Self-motivated, curious, and always seeking opportunities for professional growth and learning. At Subex, we encourage a collaborative, innovative, and growth-driven work environment. If you're passionate about applying data science techniques to real-world challenges and want to work with cutting-edge AI/ML technologies, we d love to hear from you!

Job Title: Customer Success Executive E-commerce Insights (SaaS | Bangalore) Location: Bangalore, India Experience: 2 5 Years Industry: E-commerce | SaaS | Data Analytics | Customer Success About the Role As part of our Bangalore-based customer success team, you ll work with leading global brands and partners, ensuring seamless service delivery and helping clients unlock the full potential of their e-commerce data. Key Responsibilities Client Ownership & Engagement: Manage a portfolio of global e-commerce clients, acting as the single point of contact for project execution, performance tracking, and customer satisfaction. Cross-functional Coordination: Collaborate with internal teams across product, operations, analytics, and sales to ensure project feasibility, on-time delivery, and client success. Data Analysis & Reporting: Use brand data to track performance metrics, identify business opportunities, and provide actionable insights through regular reporting and dashboards. Insight-Driven Strategy: Translate e-commerce data into strategic recommendations that drive measurable client value and product adoption. Presentation & Communication: Create compelling reports, visualizations, and client presentations for business reviews and stakeholder discussions. Issue Resolution & Project Management: Address client concerns, manage scope adherence, resolve conflicts, and oversee both BAU and ad-hoc project requests. Mentorship: Support and guide junior team members, fostering skill development and team collaboration. Key Requirements 2 5 years of experience in a customer-facing role within a SaaS or E-commerce organization. Strong understanding of e-commerce operations and analytics. Exceptional presentation and communication skills, both written and verbal. Proven ability to manage KPIs, performance reports, and customer success metrics. Experience in data interpretation, storytelling, and visualization tools (e.g., Power BI, Tableau, Excel). Ability to convert complex data into business recommendations and meaningful conversations. Highly organized, detail-oriented, and customer-focused mindset. Strong ethics, proactive approach, and a team player attitude. At Shopalyst, we re building a global, inclusive workplace that empowers individuals from all backgrounds. We believe diversity fuels innovation and growth. If you re ready to make an impact, even if you don t meet every qualification listed, we encourage you to apply.

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.

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.

Data Management Analyst Location: Bengaluru, Karnataka Team: Data Management About this Role This position is part of BlackRock s initiative to revolutionize private markets data and technology, complementing the Aladdin platform to deliver comprehensive investment solutions globally. The Data Management team is dedicated to ensuring that coverage of the alternative assets industry remains accurate, up to date, and comprehensive. As a Data Management Analyst, you will focus on processing and assuring the quality of public data. Reporting to the Data Lead, you will collaborate with a distributed team of specialists to research, analyze, and curate public data delivered to our clients. What You ll Do Acquire, update, and maintain high-quality alternative assets data using internal tools and software. Conduct thorough web-based research on firms, funds, and transaction activities in the alternative asset space. Update databases with key financial information, statistics, and analyses relied upon by clients. Participate in complex data projects involving data quality, process re-engineering, and workflow optimization. Develop domain expertise to enhance the quality and scope of data offerings. Collaborate with stakeholders across various business units to improve data product offerings. What You Bring Bachelor s degree or equivalent experience in Finance or a related field. Approximately 6 months of relevant experience. Strong interest in finance and knowledge of financial markets. Proficiency in English with excellent writing and interpersonal skills. Experience with Microsoft tools such as Excel, SharePoint, and Office 365. Benefits We offer a wide range of benefits designed to keep you energized, engaged, and supported, including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off (FTO) so you can relax and recharge. Hybrid Work Model Our hybrid work model fosters collaboration and mentorship, supporting employee growth and flexibility. Employees typically work at least 4 days per week in the office with the option to work from home 1 day per week, ensuring a balance between teamwork and individual productivity. About BlackRock At BlackRock, our mission is to help more people achieve financial well-being. Our clients, and those they serve, rely on investments that support retirement, education, home ownership, and business ventures. These investments also strengthen the global economy by supporting businesses, financing infrastructure, and enabling innovation. We invest deeply in our employees, creating a welcoming and supportive environment with opportunities for development, networks, and benefits to help you thrive. Qualification : Bachelors degree or equivalent experience in Finance or a related field.

LMS Administrator Location: Bangalore Company: Pharmed Industry: Pharmaceutical Employment Type: Full-time About the Role: We are seeking a dedicated LMS Administrator to manage and enhance our Learning Management System (LMS) for employee training and development. This role is pivotal in ensuring the smooth operation, maintenance, and optimization of the LMS, while supporting trainers and the entire sales team throughout their learning journey. Key Responsibilities: LMS Management: Oversee the daily administration, configuration, and troubleshooting of the LMS to ensure its optimal performance. User Support: Provide technical support to learners, trainers, and stakeholders, resolving any LMS-related issues in a timely manner. Content Management: Upload, update, and organize training modules, courses, and assessments in the LMS to ensure content is accessible and up to date. Data & Reporting: Generate and analyze training reports, track employee progress, and provide actionable insights to the training team. Compliance & Security: Ensure that the LMS complies with data security, compliance, and company policies. Integration & Enhancement: Work with IT teams to integrate the LMS with other enterprise systems and recommend improvements to enhance functionality and user experience. Trainer & Employee Support: Conduct LMS orientation sessions, create user guides, and assist trainers in using the platform effectively. Qualifications & Experience: Bachelor s degree in IT, HR, Education, or a related field. 1-3 years of experience in LMS administration, preferably in a corporate training or pharmaceutical environment. Strong technical proficiency with LMS platforms (e.g., Moodle, SAP SuccessFactors, Cornerstone, or similar). Familiarity with SCORM, xAPI, and other e-learning standards. Excellent problem-solving, communication, and organizational skills. Ability to analyze data and generate insightful reports. Opportunity to contribute to the growth and development of employees in a dynamic industry. Work with a passionate training team in a company that values learning and innovation. Competitive salary, benefits, and career growth opportunities. Qualification : Bachelors degree in IT, HR, Education, or a related field.

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.

Analytics Lead/Architect Location: Bengaluru, Karnataka, India Job Category: Consulting Job Type: Regular Employee Role: Individual Contributor Job Description: As a BI Architect, you will work on both offshore and onsite client projects. Your responsibilities will involve working with Oracle BI Applications, OAC (Oracle Analytics Cloud), and ODI (Oracle Data Integrator) implementations. You will engage with clients to understand their requirements, lead technical designs, and oversee system and integration testing using Oracle methodologies. You will also contribute to PreSales, the creation of Go-to-Market (GTM) strategies, and take the lead in developing IP/solution accelerators. Additionally, you will be responsible for owning the technical delivery of large, complex projects. Responsibilities: Lead Oracle BI Applications, OAC, and ODI implementations. Interact with clients to understand and gather business requirements. Oversee technical design, development, and system/integration testing. Contribute to PreSales activities and the creation of Go-to-Market (GTM) strategies. Lead the development of IP/solution accelerators. Own the technical delivery of large and complex projects. Required Skills: BI (Business Intelligence) expertise. Experience with Oracle Data Integrator (ODI). This position offers the opportunity to work on cutting-edge analytics technologies and deliver impactful solutions in a collaborative and dynamic environment. If you have significant experience in Oracle BI and ODI implementations, and enjoy leading large, complex projects, we would love to hear from you.

Position: Talend Data Engineer Location: Bangalore, India Employment Type: Full-time Experience Required: 4 to 9 years Purpose of the Position: As a Talend Data Engineer, you will be responsible for designing, developing, and managing scalable ETL/ELT data pipelines both on-premise and in the cloud. You will work with technologies such as Talend Suite, Snowflake, and reporting tools to support high-impact data integration and business intelligence initiatives. Key Responsibilities: ETL/ELT Development: Design, develop, and deploy ETL/ELT workflows using Talend Data Integration and Talend Cloud. Data Transformation: Apply stored procedures for accurate and structured data processing. Reporting: Build reports using MicroStrategy and Power BI to support decision-making. Documentation: Maintain detailed documentation for pipelines, configurations, and processes to ensure data integrity and quality. Performance Monitoring: Monitor and optimize data pipelines, resolving data-related issues swiftly. Essential Skills: Hands-on experience with Talend Suite (Talend Data Integration, Talend Cloud). Strong skills in Snowflake and writing Stored Procedures. Expertise in ETL/ELT processes, data warehousing, and data modeling. Familiarity with data quality frameworks and job scheduling tools. Proficient in handling data formats like JSON, XML, CSV, and Parquet. Knowledge of Agile methodologies and tools such as JIRA. Desirable Skills: Experience with BI tools like MicroStrategy and Power BI. Proficiency in scripting languages such as Python, Java, or Shell scripting. Familiarity with cloud platforms (AWS, Google Cloud, Azure) and cloud-based data services. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 6+ years of relevant experience with Talend and data engineering projects. Key Qualities: Strong consulting, writing, and presentation skills. Self-organized and collaborative in cross-functional teams. Open to feedback and iterative improvement. Effective communicator with clients across geographies. Analytical mindset with a research-oriented approach. Apply now and become part of a high-performing team delivering scalable data solutions across industries! Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Job Title: Data Analyst Location: Bengaluru Company: LoadShare Networks About LoadShare Networks At LoadShare, we re building India s largest intra-city logistics marketplace. Founded in 2017, we are a Series C startup backed by a strong set of investors (Tiger Global, Matrix Partners, BII, Stellaris, BeeNext, Filter Capital), focused on building a profitable and impactful business. We work with all major enterprise clients covering a wide range of intra-city use cases, including: Quick Commerce: Blinkit, Zepto, BBNow Food Delivery: Swiggy, Zomato Hyperlocal: Apollo, Licious Grocery: Reliance, Spencers, ONDC eCommerce: Flipkart, Amazon, Meesho, ShipRocket Bike Taxi: Uber, Ola Scale & Reach: Delivering over 500K orders per day across food, e-commerce, grocery, etc. Operating in 500+ towns nationwide with a fleet of 20K+ riders. Our tech platform powers 1M+ shipments daily. Role Overview As a Data Analyst at LoadShare, you will be an integral part of our Data team, responsible for designing, developing, and maintaining analytics reports and dashboards that measure, monitor, and alert the business regarding operations and product metrics. You ll work closely with internal teams to troubleshoot data issues, build ETL pipelines, and contribute to process improvements and innovation. Key Responsibilities Analyze, design, and develop analytics reports and dashboards to track key business metrics, providing insights into operational performance. Use your strong SQL skills to troubleshoot data issues in complex workflows and work with product and tech teams to resolve them. Build and maintain ETL pipelines to support data movement and integration across systems. Create ad-hoc reports as requested, ensuring timely and accurate delivery. Present findings and actionable recommendations to both business and non-technical stakeholders using effective storytelling techniques. Collaborate with product, business, and tech teams to understand the business domain and deliver insightful reports and dashboards that support business growth and optimization. Continuously improve data models, ensuring data is accessible and accurate for decision-making across the organization. Work on in-house technology projects to bring innovation and process improvements. Job Requirements Technical Skills: Strong proficiency in SQL and experience with writing and tuning SQL scripts. Around 1-2 years of experience coding in Python (experience in web scraping is a plus). Experience in data modeling, data warehousing, and building ETL pipelines. Familiarity with Business Intelligence (BI) tools such as Zoho Analytics, Metabase, Redash, Tableau, or Power BI. Collaboration: Ability to partner effectively with product, business, and tech teams to understand the business needs and develop reports and dashboards that support business growth. Communication: Strong communication skills, both written and verbal, with the ability to present complex data and insights to both technical and non-technical stakeholders. Problem-Solving: Proactive in identifying data issues, troubleshooting, and providing solutions that improve data integrity and usability. Key Skills SQL, Python, ETL Pipelines Data Modeling, Data Warehousing BI Tools: Zoho Analytics, Metabase, Redash, Tableau, Power BI Data Analysis & Reporting Communication & Collaboration

Job Title: Business Analyst Associate Location: Bengaluru Experience Required: 8+ years Education: BE/B.Tech/MBA Domain Knowledge: BFSI (Banking, Financial Services, and Insurance) Certifications: Certification in Business Analysis (e.g., CBAP, PMI-PBA) Notice Period: Less than 60 days Job Overview: As a Business Analyst Associate, you will support the analysis and design phases of projects by collaborating with business stakeholders to understand their needs and translate them into actionable solutions. Your role will focus on the pre-initiation, initiation, and design stages, working closely with business and technical teams. You will help validate solutions, support User Acceptance Testing (UAT), and drive change adoption for CLIENT programs and projects. Key Responsibilities: Requirement Elicitation Engage with stakeholders, including business users, management, and subject matter experts, to gather detailed business requirements. Conduct interviews, workshops, focus groups, surveys, and observations to document stakeholder needs. Utilize various elicitation techniques like brainstorming, document analysis, and prototyping to uncover business requirements. Requirement Analysis Analyze and prioritize business requirements to ensure alignment with business objectives and project goals. Break down high-level business and user requirements into functional and non-functional requirements. Identify gaps, inconsistencies, and conflicts in requirements and collaborate with stakeholders to resolve them. Documentation Create comprehensive documentation, including Business Requirements Documents (BRDs), Functional Specifications, Use Cases, User Stories, and Process Flow Diagrams. Maintain clear and concise documentation for ease of understanding and accessibility to all stakeholders. Stakeholder Communication Act as a liaison between business stakeholders and technical teams to ensure effective communication and a shared understanding of requirements. Facilitate meetings, presentations, and workshops to communicate findings, project updates, and recommendations. Solution Design & Implementation Collaborate with development teams to translate business requirements into functional specifications and technical requirements. Participate in designing and implementing solutions that meet business needs and improve operational efficiency. Provide input during design reviews to ensure solutions align with business requirements. Testing and Quality Assurance Develop and execute test plans, test cases, and test scripts to ensure that solutions meet business requirements and are defect-free. Conduct User Acceptance Testing (UAT), gather feedback, and refine solutions accordingly. Document and communicate test results to stakeholders. Data Analysis & Reporting Perform data analysis to support business decisions and provide actionable insights. Create and maintain dashboards, reports, and visualizations to track KPIs and project progress. Project Management Support Manage project timelines, deliverables, and resources to ensure successful project completion. Monitor and report on project progress, including risks, issues, and changes. Coordinate with project managers to ensure alignment with project plans and schedules. Continuous Improvement Identify opportunities for process improvements and recommend solutions to enhance business performance. Promote a culture of continuous improvement and innovation within the team and organization. Stay updated on industry trends and best practices to drive business improvements. Training & Support Provide ongoing support and training to stakeholders on new systems, processes, and tools. Develop training materials and conduct sessions to ensure successful adoption of solutions. Act as a point of contact for post-implementation support and troubleshooting. Industry and Domain Knowledge Stay updated on industry trends, regulatory changes, and best practices related to BFSI. Apply domain knowledge to ensure solutions align with industry standards and regulatory requirements. Domain Expertise Required: You should have experience in the following areas of Banking Operations: Wealth and Private Banking (Retail Banking) Retail lending and investing concepts Mortgage and credit card processes Contact Center Optimization (IVR, browser changes under digital channels) Branch optimization Payments International Payment Systems and Open-Banking API-driven payments End-to-End payment lifecycle experience Corporate payments, cash management, real-time/immediate payments ISO 20022 migration experience Investment and Commercial Banking (CMB) Corporate and cash management core products and services Trade operations, market liquidity, and capital flow Knowledge of regulatory issues and Automated Data Flow projects (e.g., RBI automated reporting systems) Skills & Qualifications: Educational Background: Master s degree in Business Administration or related field. Certifications: CBAP, PMI-PBA, or other relevant business analysis certifications. Technical Knowledge: Strong understanding of the Software Development Life Cycle (SDLC) and technical project management. Data Analysis Tools: Experience with tools like Excel, SQL, or Tableau for data analysis and visualization. Project Management Methodologies: Familiarity with Agile or Waterfall methodologies. Domain Expertise: Experience in Banking and Financial Services (BFSI), particularly in leading or participating in end-to-end digital transformation programs in Agile environments. Additional Expertise for Specific Projects: For Market Business Analysis (BA), the focus will be on analyzing business challenges and identifying requirements for digitization, especially in Agile environments (CSM certified, SAFe methodology). You will manage backlogs, engage stakeholders, and support market adoption efforts. For Digital Business Analysis (BA), you will collaborate with technology teams to ensure the solutions meet business needs. You'll work w...

Job Title: Deputy Manager Location: Bengaluru Role Overview: As a Deputy Manager responsible for Data Protection and Security, you will play a pivotal role in leading and managing data protection initiatives. You will oversee a range of security tools and processes, ensuring the effective implementation of DLP, data classification, and CASB solutions across a global organization. You will coordinate with internal and external stakeholders, manage teams, and contribute to the development and execution of enterprise-wide data protection strategies. Key Responsibilities: Stakeholder Coordination: Collaborate with both internal and external stakeholders to understand client requirements, processes, and governance guidelines, ensuring effective communication and relationship management. Leadership: Manage and lead a team of professionals, fostering strong leadership skills and creating a collaborative environment for continuous improvement. Data Protection Strategy: Lead cross-functional initiatives to advance the enterprise-wide data protection strategy, including risk-based application inventory, data classification, access and encryption controls, data discovery, and monitoring. Risk Management: Identify and manage data protection risks, proposing improvements to the enterprise data protection strategy, policies, processes, and tools. DLP and Data Protection Tools: Hands-on experience in managing and implementing Data Loss Prevention (DLP) solutions (e.g., Forcepoint), data classification tools (Microsoft AIP, TITUS, Klassify), and CASB solutions (Netskope) for 6000+ end users globally. Data Inventory & Reporting: Oversee the management and administration of data inventory tools, providing operational reports to management teams on the status and effectiveness of data protection measures. Policy Development & Implementation: Spearhead the design, implementation, and policy development for DLP platforms and CASB solutions, ensuring compliance with organizational and client-specific requirements. Endpoint Security & Intrusion Detection: Implement measures to detect and prevent intrusions using Endpoint, EDR (Endpoint Detection and Response) tools, and other security solutions. Security Program Expansion: Develop business procedures for DLP programs, recommend and implement expansions based on evolving business requirements, and ensure ongoing program improvements. Collaboration & Reporting: Collaborate with leadership to present findings, updates, and strategies for enhancing data protection initiatives. Desired Skills & Experience: Technical Expertise: Hands-on experience with DLP (Forcepoint), Data Classification tools (Microsoft AIP, TITUS, Klassify), and CASB (Netskope). Familiarity with file/email/endpoint encryption, data discovery, and data masking solutions. Experience implementing DLP and CASB standards across a large-scale global environment (6000+ users). Leadership & Management: Strong leadership skills with the ability to manage and mentor a team of professionals, ensuring project delivery and quality standards are met. Data Protection Strategy & Risk Management: In-depth knowledge of data protection strategies, risk management, and enterprise-wide data protection frameworks. Communication & Collaboration: Excellent communication skills with the ability to manage stakeholder relationships and work across multiple teams, ensuring alignment on data protection goals. Process & Policy Development: Experience in developing, fine-tuning, and implementing DLP policies, as well as working on continuous improvements in data protection practices. Security Tools & Practices: Hands-on experience with tools like Endpoint Detection and Response (EDR), DLP solutions, and CASB, with a focus on security program implementation and risk mitigation. Qualifications: Education: Bachelor's degree or equivalent in IT, Cybersecurity, or related fields. Experience: 5+ years of relevant experience in data protection, DLP implementation, and team management in a complex global environment. Certifications: Relevant certifications (e.g., CISSP, CISM, CISA, or equivalent) would be an advantage. Why Join Us: In this role, you will have the opportunity to shape and drive critical data protection initiatives across a large global organization. You will lead the implementation of cutting-edge solutions and be an integral part of a dynamic team focused on securing enterprise data and improving security frameworks. This role offers the chance to make a significant impact on the company s data security posture while also growing and mentoring a team of cybersecurity professionals. Qualification : Bachelor's degree or equivalent in IT, Cybersecurity, or related fields.

Data Scientist - Global Sugar and Ethanol Production Company Description: Louis Dreyfus Company is a leading merchant and processor of agricultural goods, active across the entire value chain from farm to fork. We operate a broad range of business lines, leveraging our global reach and extensive asset network to serve customers and consumers worldwide. As a matrix organization spanning six geographical regions and ten platforms, we are present in over 100 countries and employ approximately 18,000 people globally. Job Description: We are seeking an experienced Data Scientist to join our team, focusing on managing and analyzing global Sugar and Ethanol production data. This role involves integrating large datasets, applying statistical estimation methods, and developing interactive dashboards to support data-driven decision-making. You will work closely with cross-functional teams to generate insights that enhance business strategies and identify risks in production trends. Main Responsibilities: Manage and estimate global Sugar and Ethanol production and associated risks. Integrate large datasets from various sources and perform feature engineering to improve data quality and usability. Apply statistical methods and estimation techniques to analyze production trends and assess risks. Develop and maintain interactive dashboards to visualize key metrics and insights. Present findings and recommendations to stakeholders through detailed reports and presentations. Collaborate with cross-functional teams to ensure data-driven decision-making across the organization. Experience: Minimum of 3 years of experience in data science, preferably within the commodities sector. Advanced proficiency in Python programming, with expertise in libraries such as Pandas, NumPy, and Scikit-learn. Strong understanding of data integration and feature engineering techniques. Experience in statistical analysis and modeling. Proficiency in data visualization tools such as Dash. Excellent communication and presentation skills. Ability to work independently and as part of a team. Qualifications: Master s degree in economics, applied statistics, or a related field. A Ph.D. is a plus. Fluency in English, both oral and written. Experience working in a commodities-related field is preferred. Qualification : Masters degree in economics, applied statistics, or a related field. A Ph.D. is a plus.

Job/Position Summary: Data Engineer Responsibilities: Implement data pipelines that meet design and are efficient, scalable, and maintainable. Implement best practices including proper use of source control, participation in code reviews, data validation and testing. Timely deliveries while working on projects. Act as advisor/mentor and helps junior data engineers in their deliverables. Must Have Skills: Should have experience of at least 4+ years with Data Engineering. Strong experience of design, implementation and fine-tuning big data processing pipelines in production environment. Experience with big tools like Hadoop, Spark, Kafka, Hive, Databricks. Experience in programming at least one of with Python, Java, Scala, Shell Script. Experience with relational SQL and NO SQL databases like PostgresSQL, MYSQL, Cassandra etc. Experience with any data visualization tool (Plotly, Tableau, Power BI, Google Data Studio, Quick sight etc.). Good To Have Skills: Should have Basic Knowledge of CI/CD Pipeline. Experience in working on at least one Cloud (AWS or Azure or GCP). For AWS: - Experience with AWS Cloud services like EC2, S3, EMR, RDS, Athena, Glue, Lambda, EMR. For Azure: -Experience with Azure Cloud services like Azure Blob/Data Lake GEN2, Delta Lake, Databricks, Azure SQL, Azure DevOps, Azure Data Factory, Power BI. For GCP: - Experience with GCP Cloud services Big Query, Cloud Storage bucket, DataProc, Dataflow, Pub Sub, Cloud Function, Data Studio. Sound familiarity in Versioning tools (Git, SVN etc.). Experience Mentoring students is desirable. Knowledge of latest developments in Machine Learning, Deep Learning, Optimization in Automotive domain. Open minded approach to explore multiple algorithms to design optimal solution. History of contribution to articles/blogs/whitepapers etc. in Analytics. History of contribution to Open Source. Requirement: ESSENTIAL SKILLS /COMPETENCIES Data Engineering Hadoop Kafka CI/CD Cloud