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Data Engineering Team Lead
About The Position
As our Data Engineering Team Lead, you'll be the central architect, championing data quality, efficiency, and innovation. You'll manage a talented team of engineers, own our data warehouse and infrastructure, work closely with stakeholders across the organization, and guide our data roadmap to empower growth and decision-making.
Responsibilities:
- Lead and manage the Data engineering team.
- Architect, own, and manage our data warehouse and infrastructure, ensuring data quality, integrity, and efficiency.
- Collaborate with stakeholders across departments to gather requirements, define data strategies, and deliver clear timelines.
- Design and implement data pipelines and ETL processes for accurate and timely data ingestion.
- Lead product and business related data analysis to support decision makers.
- Provide infrastructure and support for data scientists and business analysts to leverage data effectively.
- Stay ahead of the curve in data technologies and trends, proposing and implementing innovative solutions.
Requirements
- 2+ years of experience as a Team Lead/management position.
- 5+ years of experience as a Data Engineer.
- Experience in B2C platform data analysis and data-driven decision making.
- Proven success in building and managing data pipelines, ETL processes, and data warehouses.
- Strong expertise in AWS, Airflow, Redshift, Looker (or other equivalent technologies).
- Experience in programming with Python.
- Experience with Docker and Kubernetes (k8s).
- Excellent communication, collaboration, and leadership skills.
- Strategic thinking and ability to translate business requirements into technical solutions.
- Passion for data, innovation, and building high-performing teams.