3,461 director data engineering jobs in India.

The Role: Senior Data Engineer The Team: The Data Engineering team expands and optimizes our data pipeline architecture, working collaboratively with cross-functional teams to build scalable data systems that support next-generation products and analytics initiative. As a Senior Database Engineer, you will directly contribute ...

Role: We're looking for a seasoned Data Engineer to join our Engineering organization and take ownership of the systems that power our data-driven decisions. You'll architect and maintain high-performance data pipelines and databases across platforms like MSSQL, Redshift, and Snowflake—ensuring data is reliable, accessible, ...

... that support strategic decision-making. Perform ad-hoc analysis and maintenance tasks. Education & Experience Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field. Minimum 3 years of experience in data engineering, analytics, or business intelligence Experience in Kubeflow ...

... next evolution: agentic ai systems that autonomously extract insights, support business decisions, and power internal copilots. if you are someone who enjoys solving hard problems at the intersection of software engineering and ml, and are excited about the future of ai agents in real-world systems, we want to hear from

Tesco India • Bengaluru, Karnataka, India • Hybrid • Full-Time • Permanent • Working hours 45• Apply by 08-Sep-2026

... : Lakehouse, distributed data processing, scalable data platforms- Data Processing : Batch processing, streaming, ETL / ELT, CDC, incremental processing- Engineering : Git, CI/CD, automated testing, code reviews, observability, DataOps- Data : Data modelling, curated datasets, metadata-driven frameworks, data quality and ...

... solutions. Continuously identify opportunities to improve analytics workflows, tools, and processes. Required Skills & Qualifications: - 3+ years of experience in data engineering, analytics, or BI-focused roles. - Strong proficiency in SQL and NoSQL databases. - Experience with BI tools such as Metabase, Mixpanel, or equivalents. ...

... vendor products in existing ecosystem. - Experience in migrating data structured, unstructured data to Data lake - Experience or understanding of performance engineering both at system level and database level. - Experience or understanding of Data Governance, Data Quality, Data Issue Management. - Work closely with the implementation ...

... analytics tables. Reads run exclusively on read-only replicas to guarantee zero impact on the production master DB. Required Skills & Experience: 4+ years in data engineering or analytics roles, building daily batch ETL pipelines at 1-10 M rows/run scale (and up to 100 M+) Expert SQL skills, including stored procedures ...

... passionate about building systems at scale. You will enable a world-class engineering practice, drive the approach with which we use data, develop backend systems and data models to serve the needs of insights and play an active role in building Atlassian's data-driven culture. Own the technical evolution of the data engineering ...

... reliability of 2K’s data ecosystem. This role applies DevOps principles to data engineering, managing CI/CD for data assets, Infrastructure-as-Code (IaC), and advanced data observability. focuses on complex problem-solving, optimizing cross-functional data flows, and ensuring that data infrastructure is scalable, secure, and highly ...

... like Data Lakes and SQL DW to build robust data solutions. Write SQL, Python, and PySpark code for efficient data processing and transformation. experience in data ingestion, data processing, and analytical pipelines for big data and relational databases. Hands-on experience with Azure services: ADLS, Azure Databricks, Data ...

About Hevo: Hevo () is a simple, intuitive, and powerful No-code Data Pipeline platform that enables companies to consolidate data from multiple software for faster analytics. Hevo powers data analytics for 2000+ data-driven companies across multiple industry verticals, including https://jobeax.com/link/nc8T843D2pw1cDRT, ...

... projects - Exposure to on-prem + cloud environments Expectations - Strong SQL proficiency (should handle basic queries comfortably) - Clear understanding of data engineering concepts - Experience with: - Git - SDLC / CI-CD pipelines - Good communication and articulation skills - Ensure candidates have: - Strong fundamentals ...

... Skills - 3–6 years of experience in data analysis, business process analysis, task mining or process mining. - Strong proficiency in SQL and Python/Pandas for data transformation and analysis (Pandas, NumPy, regex, data manipulation). - Ability to handle large data sets and work with structured and semi-structured event ...

... data quality, lineage, and governance. Lead the integration of ML platforms like SageMaker for advanced analytics. 8+ years of hands-on experience in data engineering, with expertise in Scala, Spark, Python, and Airflow. Mastery in cloud data infrastructure (AWS Redshift, Glue, Athena, S3). - Proven ability in DataOps, ...

AI + Data Engineer — Fully Remote Bhalekar Consulting · Applied AI & Data Engineering · Official Anthropic & Databricks Partner We're an applied-AI and data consultancy delivering production-grade AI and data platforms for clients across financial services, retail, supply chain, and the public sector. As an official Anthropic ...

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : AWS Glue ...

... Microsoft Azure etc. Certified Data Engineer, Certified Professional certification preferred. Required experience: Moderate level experience in data engineering, data mining within a fast-paced environment. Familiarity with building modern data analytics solutions that delivers insights from large and complex data sets with ...

... Participate in code reviews and follow Data Engineering best practices. 5+ years of relevant Data Engineering experience, with the majority of career spent in Data Engineering roles. - Strong hands-on experience in Databricks development. - Strong PySpark programming experience for data transformation and pipeline development. ...