Data Engineer - Python/SQL/ETL

Responsibilities :

- Design and build robust, scalable ETL/ELT pipelines using Python, SQL, and Spark.

- Develop and optimize data workflows for performance, reliability, and cost efficiency.

- Implement data integration solutions across multiple sources and destinations.

- Ensure high standards of data quality, accuracy, and governance.

- Collaborate with analytics, engineering, and business teams to deliver reliable data solutions.

- Maintain and monitor data pipelines and troubleshoot issues proactively.

Requirements :

- Strong programming skills in Python and SQL.

- Hands-on experience with Apache Spark for big data processing.

- Experience with cloud platforms (Azure / AWS) and their data services (e.g., Azure Data Factory, AWS Glue, S3, Redshift, etc.).

- Familiarity with CI/CD practices and data version control is a plus.

- Excellent problem-solving and communication skills.