ETL Data Engineer

• Develop and optimize Python-based data processing and transformation workflows
• Write, tune, and maintain complex SQL queries for data extraction, transformation, and validation
• Ensure data quality, consistency, and reliability across ETL processes
• Monitor and improve performance of data pipelines and workflows
• Take end-to-end ownership of assigned tasks and ensure timely delivery
• Identify risks, bottlenecks, and improvement opportunities proactively
• Collaborate with cross-functional teams including analytics, product, and engineering
• Follow best practices in coding, testing, documentation, and deployment
• Support continuous improvement in data engineering processes and standards

Expertise You'll Bring:

• 5+ years of hands-on experience in ETL or Data Engineering roles
• Strong proficiency in Python for data processing and transformation
• Excellent SQL skills including complex joins, query optimization, and performance tuning
• Experience working in Agile or iterative delivery environments
• Strong understanding of data quality, validation, and pipeline reliability concepts
• High level of ownership, accountability, and commitment to deliverables
• Strong analytical and problem-solving skills
• Ability to work effectively in fast-paced, collaborative environments
• Good communication and coordination skills with cross-functional team