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.
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.
This position is open to all candidates.
