Data and Analytics Engineer in India, India is listed on Jobeax. Browse 30,000+ vacancies available.
As a key member of the QTC, you will play a pivotal role in migrating data from diverse sources and applications, developing solutions, validating systems, and addressing various challenges in enterprise applications. You will be involved in the complete development lifecycle—from analysis and design to testing and release—focusing on delivering solutions that align with business goals, technical requirements, and best practices. Capture operational metrics and performance indicators to highlight the value of team deliverables and enhance visibility into operations. Flexibility for travel is required. Design, code, and review solutions to ensure high standards of quality. Prepare and report project performance metrics and KPIs. Qualifications & Experience Bachelor's degree in computer science or a related field with 5+ years of experience in ETL development or similar roles. Proven expertise in managing large data volumes and working with diverse data sources. Strong analytical skills with a track record of success in enterprise applications or integration projects. Hands-on experience using industry best practices for standards and methodologies. Hands-on experience withUnix Shell Scripting. Strong analytical skills for data engineering tasks. Familiarity with tools likeApache Airflowfor data migration workflows. Experience with database systems such asOracle,MySQL, orDB2. Knowledge of legacy data migration from diverse sources. Previous experience with data migration to platforms like ServiceNow. Familiarity with Siebel Complex assets data model.
... platforms, and analytics engineering . The ideal candidate has strong expertise in Apache Spark, Kafka, Snowflake, and AWS/Azure . Build and maintain scalable batch and real-time data pipelines for fraud analytics. Develop and optimize Spark-based data processing frameworks. Implement efficient data ingestion frameworks and integrate ...
... Support data governance, cataloguing, lineage, and metadata management practices where required. Work with Linux/Unix environments and efficiently process large datasets. WHAT MAKES YOU A GREAT FIT - 3+ years of professional experience in Data Engineering, Big Data, Analytics Engineering, or a related field. - Strong hands-on ...
... communication and stakeholder management skills Why Join? - Work with global teams on large-scale data transformation initiatives - Build modern cloud-native data solutions using Azure & Databricks - Opportunity to contribute to enterprise-wide analytics and data engineering programs Interested candidates can share their ...
... Copilot with prompt engineering to increase engineering velocity. Enforce data governance, risk management policies, and regulatory compliance standards across all data platforms. Preferred Candidate Profile Work Experience: 8+ years in large-scale application development with 5+ years in a Python and PySpark Data Engineering ...
... acting as the centralized data analytics team for Internal System Org. Enable and empower F&S, GTM, Accounting, Product teams to achieve business goals, through dataset development, data analytics support, dashboards, AI, and operation efficiency enhancements. What you’ll do Responsibilities - Perform data analysis, identify ...
... Analytics Manager to join our Global Analytics function within a leading fashion business. You will act as a trusted advisor to the business, using your deep understanding of functional processes, data architecture, and analytics to identify opportunities, influence decisions, and deliver scalable, data -driven solutions that ...
... Lead or Delivery Manager- Designing and building data pipelines, models, and validation frameworks that operate reliably at scale- Writing specifications for analytics algorithms to be implemented by software engineers- Supporting product migration and transition work, picking up operational knowledge and building India team ...
... the teamThe Superpowers You'll Be Bringing To The Team : - Analytics expertise : 7+ years' experience in a highly technical analytics environment with proven analytics and insights expertise at Lead Analyst level or equivalent- Technical proficiency : Strong expertise in BigQuery SQL and data visualisation tools- Leadership ...
... requires a hands‑on analytics expert with strong business understanding, the ability to interpret complex datasets, and the skills to collaborate with auditors, data owners, and stakeholders across the business Your responsibilities - Support audit planning by assessing data quality, availability, and analytics opportunities. ...
... exceptional at understanding data, extracting insights, and turning those insights into robust machine learning or statistical models. You will own the full modeling workflow from exploratory analysis and feature engineering through to building reproducible pipelines that can be deployed into production for our customers.
... years of experience in Data & Analytics / Data Engineering / Enterprise Data Management- Proven experience in leading large teams and managing P&L- Strong understanding of cloud data platforms (Azure, AWS, GCP) and modern data architectures- Experience in working with enterprise customers and handling senior stakeholders- ...
... with accurate, governed data that stakeholders and partners can trust.- Own data quality: testing, CI/CD, documentation, and patterns the team follows.- Build and evolve Databricks dashboards and semantic metrics for self-service across the business.- Partner with data engineering, analytics engineering, and analytics stakeholders ...
... Ensure data quality and integrity throughout the analysis process. Working with huge and varied datasets to find sources of strategic advantage in go-to-market and execution, with a focus on Organised Trade, Traditional Trade and Away-From-Home Clean and prepare data for use in advanced analytics, artificial intelligence, ...
... Ensure data quality and integrity throughout the analysis process. Working with huge and varied datasets to find sources of strategic advantage in go-to-market and execution, with a focus on Organised Trade, Traditional Trade and Away-From-Home Clean and prepare data for use in advanced analytics, artificial intelligence, ...
... expertise in Guidewire Data Migration methodology and tools . The ideal candidate must hold a Mammoth Certification (Data Migration Track) and bring extensive, hands-on experience in migrating client data from legacy Policy systems to Guidewire PolicyCenter . This role demands precision, scalability thinking, and deep domain ...
... Cross-Functionally: Work closely with product managers, engineering teams, data scientists, and other stakeholders to design and implement effective data integration and hand-off mechanisms. Facilitate seamless data flow and accessibility across various systems and teams. - Optimize Performance and Scalability: Identify and address ...
... our product's data. We've built a strong data engineering team to date, but have a lot of work ahead of us, Migrating from relational databases to a streaming and big data architecture, including a complete overhaul of our data feeds - Defining streaming event data feeds required for real-time analytics and reporting - ...
... to make reliable, governed, data-driven decisions. Data Platform Architecture: Design and own end-to-end data pipeline architecture — ETL/ELT, orchestration, and data modeling — across cloud-native platforms (Azure Databricks, Azure Data Factory, and/or Snowflake). Lakehouse Engineering: Architect Medallion (Bronze/Silver/Gold) ...