- 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
Key Responsibilities:
- Develop maintain and optimize ETL pipelines to ingest transform and load data from multiple sources
- Write effective scalable and well documented Python scripts for data processing and automation
- Design and optimize complex SQL queries views and stored procedures for performance and accuracy
- Perform data validation quality checks and reconciliation to ensure data integrity
- Troubleshoot and resolve data pipeline failures and performance issues
- Collaborate with data analysts data scientists and business teams to understand data requirements
- Implement best practices for data security governance and compliance
- Maintain technical documentation for ETL workflows and data models
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