Data Enginner

Data Engineer (34 Years Experience) About the Role We are looking for a Data Engineer with 34 years of experience in building scalable data pipelines and ETL/ELT workflows. The ideal candidate should have strong Python and SQL skills, experience integrating data from multiple sources, and a passion for delivering high-quality, reliable data solutions. Key Responsibilities Build and maintain scalable ETL/ELT pipelines. Develop data ingestion, transformation, and validation workflows. Optimize SQL queries and database performance. Monitor and troubleshoot data pipelines. Collaborate with cross-functional teams to deliver data solutions. Ensure data quality, governance, and documentation. Required Skills Python, SQL, Pandas, NumPy ETL/ELT, Data Modeling, Data Validation PostgreSQL, MySQL (MongoDB/Firestore is a plus) REST APIs, JSON/XML Git, Docker, CI/CD AWS, Microsoft Fabric Preferred Skills Snowflake or other data warehouses Distributed data processing Data governance and monitoring tools Qualifications Bachelor's degree in Computer Science, IT, or related field. 34 years of experience in Data Engineering. Strong analytical, problem-solving, and communication skills. What We're Looking For A proactive engineer who can build scalable data solutions, ensure data quality, and work effectively with cross-functional teams. .