9,206 it data engineer jobs in India.

... responsible for managing, analyzing, and maintaining large data sets while ensuring data integrity, consistency, and security. This position offers an excellent opportunity to develop analytical and technical skills in a fast-paced, research-focused environment. Key Responsibilities: Data Management: Manage master data including ...

... relevant functional areas, and scoping solutions to fix data quality issues.- Create clear, concise, and comprehensive requirements documentation for data quality use cases, and data quality reports for approval by data owners and stewards.- Working closely with the Agile Technology teams (product owners, data engineers ...

... Partner with business stakeholders, product managers, and engineering teams to understand business use cases and constraints.- Design and document end-to-end data, aligned with enterprise standards for :1. Data mesh and domain-oriented data products2. DataOps, MLOps, and emerging AgentOps practices3. AI-aligned data patterns ...

... TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks, improve governance, and do more with data. The Opportunity: The Senior Sales Engineer (SSE) is a pre-sales role primarily focused on providing technical sales support to Commvault’s Account managers. ...

... compliance with global and regional information security and data privacy regulations, including but not limited to - GDPR, NIST Cybersecurity Framework and India's Digital Personal Data Protection (DPDP) Act. Act as the Data Protection Officer (DPO) and Consent Manager, driving the implementation of robust security and privacy ...

... architecture capability with credibility and technical depth to define, support and govern key design decisions. - Experience designing integrations, APIs and data models across finance, CRM and operational systems, with a deep understanding of ownership, control and interoperability. - Able to work effectively with Finance ...

... and when https://jobeax.com/link/0a2QmNkVhUZFALjk Candidate will have :- Experience with Agentic AI, Generative AI, LLMs, and prompt engineering.- Experience with big data technology stack (Hadoop, Spark, HDFS, EMR, Glue).- Experience with AWS, Azure or GCP.- Experience with Databricks/SageMaker/DataRobot, MLFlow or other ...

... and forecasting solutions. Perform data cleaning, preprocessing, and feature engineering. Build and optimize data pipelines using Python and SQL. Analyze large datasets to identify trends and business insights. Support model deployment, testing, and performance monitoring. Create dashboards, reports, and data visualizations. ...

... marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: - Data Pipeline ...

... Order-to-Cash, Procure-to-Pay, Record-to-Report, and Plan-to-Produce to ground AI solutions in real enterprise reality. - Work with cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP to support reliable, scalable AI workflows. - Partner across product, engineering, business, and customer-facing ...

... architecture capability with credibility and technical depth to define, support and govern key design decisions. - Experience designing integrations, APIs and data models across finance, CRM and operational systems, with a deep understanding of ownership, control and interoperability. - Able to work effectively with Finance ...

... between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds. Requirements and benefits Educational qualifications - A Master’s Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial ...

... Summary : Lead data quality assessment and governance activities across the data https://jobeax.com/link/GmpRkycDUBUNhxr2 Responsibilities : - Define data quality rules and controls- Conduct profiling and reconciliation- Develop DQ dashboards and scorecards- Monitor data quality KPIsSkills : - SQL- Data Profiling- Data ...

... zones. You've built a clear picture of the data landscape — sources, systems, and stakeholders — and shipped your first improvements to how data flows. Curiosity & Continuous Learning - You stay updated with the latest Data Engineering trends and technologies Ownership & Accountability - You take responsibility and drive ...

... and optimize ETL processes to ensure high data quality, consistency, and availability across the enterprise data warehouse.- Manage real-time data streaming architectures using Confluent Kafka to support low-latency data consumption and event-driven applications.- Collaborate with engineering teams to perform data modeling ...

... processes using version control and automation tools.- Work closely with data engineering, BI, application, and business teams to deliver reliable data solutions.- Monitor production environments and resolve performance, connectivity, and data-related https://jobeax.com/link/EHBpeKFDokd307Vo Skills :- 6+ years of overall IT experience ...

... plus. - SQL Experience. - GenAI experience in one or all of Prompt Engineering, RAG, Fine-tuning is a must to have, Agentic AI is a plus to have. - Knowledge of Data Warehouses (Snowflake, BigQuery, Redshift, Synapse). - Experience with version control systems, such as Git/Github. - Big Data processing framework experience ...

... Cross-Team Collaboration: Partner with Product Managers, Architects, and other Engineering leaders to define technical roadmaps, prioritize deliverables, and align with business goals. - Security and Reliability: Ensure solutions adhere to industry best practices for security, availability, and reliability, while adapting to ...

... Prepare and analyze large datasets using cloud platforms such as AWS and Snowflake. - Use SQL, Python, Jupyter Notebooks, Looker, and related tools to analyze data and generate insights. - Partner with Product, Engineering, and business teams to shape strategy and priorities. - Clearly communicate insights, model results, ...

... between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds. Requirements and benefits Educational qualifications - A Master’s Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial ...