Python, SQL, ETL Developer

We are looking for a skilled Python, SQL, and ETL Developer to design, build, and maintain scalable data pipelines and data integration solutions. The ideal candidate will work closely with data engineers, analysts, and business stakeholders to ensure reliable, high‑quality data delivery for reporting, analytics, and downstream applications.

Technical Requirements: Strong proficiency in Python (data manipulation, scripting, automation)
Advanced knowledge of SQL (joins, subqueries, window functions, performance tuning)
Hands-on experience with ETL/ELT tools or frameworks
Experience working with relational databases (e.g., MySQL, PostgreSQL, SQL Server, Oracle)
Solid understanding of data warehousing concepts (fact/dimension tables, star schema)
Ability to work with large datasets and optimize data processing workflows
Strong analytical, problem-solving, and debugging skills

Additional Responsibilities: Experience with cloud platforms (AWS, Azure, or GCP)
Familiarity with big data technologies (Spark, Hadoop)
Exposure to workflow schedulers (Airflow, Prefect, Cron)
Knowledge of CI/CD pipelines and version control (Git)
Understanding of data governance and lineage tools