Data Engineering Team Lead

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

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.

Qualifications

• 3+ years of experience as a Team Lead/management position.
• 4+ 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.