Python, SQL, ETL Developer

Role overview

This position focuses on building and supporting data integration solutions using Python, SQL, and ETL practices. The role is based in Bengaluru East, Karnataka, India and is intended for a full-time onsite setup.

Key responsibilities

• Create, maintain, and improve ETL pipelines that move data from several sources into usable targets.
• Develop clear, efficient Python code for data preparation, automation, and related processing tasks.
• Build and tune SQL statements, database views, and stored procedures so they run accurately and efficiently.
• Check data quality through validation, reconciliation, and other integrity controls.
• Investigate and fix data flow issues, failures, and performance bottlenecks.
• Work closely with analysts, data scientists, and business stakeholders to understand data needs.
• Follow data security, governance, and compliance standards in day-to-day work.
• Document ETL processes, technical workflows, and data structures clearly for future reference.

Required skills and background

The role calls for strong hands-on capability in Python for scripting, automation, and data manipulation, along with advanced SQL knowledge including joins, subqueries, window functions, and query tuning. Experience with ETL or ELT tools/frameworks is needed, as well as practical exposure to relational databases such as MySQL, PostgreSQL, SQL Server, or Oracle. A good grasp of data warehousing concepts like fact tables, dimension tables, and star schemas is important. The work also requires comfort handling large datasets, improving processing performance, and using strong analytical and debugging skills.

Preferred exposure

Additional advantage will be given to candidates familiar with AWS, Azure, or GCP, big data tools such as Spark or Hadoop, workflow schedulers like Airflow, Prefect, or Cron, CI/CD pipelines, Git-based version control, and data governance or lineage tooling.