Design and optimize data models, data marts, and Lakehouse/warehouse layers
Build, orchestrate, and monitor scalable data pipelines on Databricks
Lead a project team of data engineers supporting multiple workstreams
Prepare and maintain project documentation
Typical background
8-12 years’ experience in data engineering and analytics rolesBachelor’s or Master's degree in analytics, computer science/engineering, economics, mathematics, or related areas
DatabricksSqlPythonPysparkData modelingEtl/elt pipelinesWorkflow orchestrationCloud data platformsApache airflowCronVisualization toolsBig data technologies
About the role
Experience: 8–12 years
Strong data engineering background
Databricks is a must, along with experience in data modeling, building pipelines, orchestration, and supporting reporting teams
Job Functions:
Collaborate with client stakeholders to gather requirements, structure solutions, and ensure high‑quality, timely delivery.
Experience working in the Databricks tech stack with strong proficiency in SQL, Python, and PySpark
Design and optimize data models, data marts, and Lakehouse/warehouse layers with strong focus on medallion architecture, query optimization, and performance…