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Mid-level metro role with common data engineering skills and a well-known brand drives high candidate competition.
Core data engineering skills are transferable, but ad-platform API and media-specific integrations add domain specificity.
Explicit years plus required AWS/Redshift, ETL, Python, and advanced SQL narrow the candidate pool significantly.
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Lead development of automated data management and reporting solutions to reduce manual efforts and improve efficiency.
Develop and maintain Python scripts for API integrations with advertising platforms (Facebook Ads, Google Ads, Programmatic Ads).
Mentor team members on best practices, ensure data quality through monitoring and validation, and manage interactive client dashboards.
4-5+ years experience with AWS (including Redshift) and cloud technologies.
4-5+ years experience designing and maintaining data warehouses (Redshift, Big Query), and building complex ETL/ELT pipelines.
Advanced SQL proficiency with optimization, indexing, and partitioning concepts.
Proficient in Python for data processes using pandas, numpy, Flask and experienced with real-time and batch API data pipelines.
Experienced in delivering well-tested, high-performance data software solutions in agile environments.
Capable of managing stakeholder communications effectively across technical and non-technical audiences.
Skilled in troubleshooting data issues and developing data quality and onboarding frameworks for data integration.