Lead and mentor junior data engineers, foster a culture of continuous learning and high-quality engineering practices within the team
Job Summary
Lead and mentor junior data engineers, foster a culture of continuous learning and high-quality engineering practices within the team.
Design and architect end-to-end data solutions from source extraction and ingestion through transformation, quality validation, and delivery.
Serve as a trusted advisor to clients, build long-standing partnerships, understand business problems, translate data requirements into technical solutions.
Matching Summary
Lead and mentor junior data engineers, foster a culture of continuous learning and high-quality engineering practices within the team.
Skills & Requirements
Must-have
design, develop, deliver data infrastructure
lead data engineering team
build real-time data architectures
modern data transformation using dbt
cloud data platforms and lakehouse
workflow orchestration tools
SQL and Python programming skills
Nice-to-have
foster continuous learning culture
trusted advisor to clients
contribute to business development
consulting experience
real-time and streaming data architectures
Key Requirements
5+ years hands-on data pipeline experience
Experience leading technical teams
Strong SQL and Python/PySpark skills
Experience building data pipelines for AI/ML
Familiarity with agent integration standards
Experience with modern data transformation tools (dbt)
Experience with cloud data platforms (Snowflake, Databricks, Fabric)
Proficiency with workflow orchestration tools
Solid foundation in data modeling concepts
Excellent communication and client management skills
Bachelor's degree in technical field or equivalent