Senior manager- Data Engineer

Overview

Senior Manager, Data Engineering will lead automated data management, reporting, and data engineering solutions for analytics and client insights.

What you'll do

• Lead development of automated data management and reporting solutions.
• Develop and maintain Python scripts for API integrations with advertising platforms.
• Mentor team members on Python scripting, data engineering, and API integrations.
• Develop and maintain data quality checks and procedures.
• Monitor automated jobs and troubleshoot data issues.
• Develop and manage interactive dashboards for actionable client insights.
• Support relationships with third-party data providers.

What you'll need

• Have exceptional communication skills for technical and non-technical stakeholders.
• Have 4-5+ years of AWS experience (including Redshift) and other cloud technologies.
• Have 4-5+ years designing and maintaining data warehouses (e.g., Redshift, BigQuery).
• Have expertise building complex ETL/ELT for real-time and batch data pipelines with API-based integration workflows.
• Be advanced in SQL, including query optimization, indexing, and partitioning.
• Have hands-on Python experience for data-related processes using pandas and numpy and Flask.
• Have experience with data monitoring, detection, troubleshooting, and validation frameworks.

Details

• Hybrid approach with teams in the office around four days a week.