Lead / Manager - Data Engineering
Core
Lead and manage a team of Data Engineers to design, develop, and optimize scalable on-premise data pipelines and ETL/ELT workflows.
Role type
Senior IC / Manager Data Engineer
Builds
Scalable data pipelines, ETL/ELT workflows, and Apache Airflow DAGs for on-premise environments
Domain
Data Engineering, On-premise Data Platforms
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Apache Spark, SQL, Apache Airflow, Team Leadership, ETL/ELT Architecture, Data Pipeline Optimization, Performance Tuning, Stakeholder Management
Preferred skills
Enterprise Data Platforms, Data Warehousing, Legacy Platform Migration, Hadoop Ecosystems
Technologies
Python, Apache Spark, SQL, Apache Airflow
Responsibilities
Lead and manage a team of Data Engineers; Design and optimize scalable data pipelines; Build robust ETL/ELT workflows; Design and manage complex Apache Airflow DAGs; Troubleshoot pipeline failures and performance issues; Mentor engineers and drive technical design.
Seniority
Senior, hands-on IC with management responsibilities
