Responsibilities

• Develop and optimize ETL workflows using Python and SQL.
• Design and implement scalable data pipelines for processing various data sources.
• Work with relational databases (e.g., PostgreSQL, Oracle) to ensure efficient data storage and retrieval.
• Optimize SQL queries and Python scripts for performance and maintainability.
• Implement robust error handling, logging, and monitoring for data processing pipelines.
• Collaborate with cross-functional teams to integrate and manage data sources.

Requirements

• 5+ years of experience in Data Engineering.
• Expert-level Python and SQL skills – ability to write efficient, scalable, and maintainable code.
• Strong experience in designing ETL processes and working with large datasets.
• Solid understanding of database performance tuning and query optimization.
• Experience with data modeling and schema design.
• Familiarity with cloud storage solutions (Azure, AWS, or GCP).
• Strong problem-solving skills and ability to work independently.
• Nice to have: Experience with PySpark, orchestrators and knowledge of CI/CD for deployment process automation.

More Information

• The client is in the TOP 5 development companies in the USA
• You have FLEXIBLE working conditions and a COOPERATIVE environment
• Competitive salary
• Many CHALLENGING and exciting projects with new opportunities and learning 
• GROWTH opportunities, skills and competencies improvement, and professional certification
• In-company TRAINING (English, Software / DevOps / Project management / Design / BusinessThe staff will be working within the client’s time zone (Central US Time).
• Permanent WFH setup