Job description

Hybrid: 2-3 days onsite in Jersey City, NJ Summary: • Builds systems that gather, store, and process large volumes of data for analysis. Responsibilities: • Develop ETL pipelines, ensure data quality, optimize data storage solutions. • Responsible for building scalable ingestion, transformation, and storage pipelines across DataBricks Medallion Layers, Azure Data Factory, SQL Server, and staging/data layers, supporting Metrics Repository and onboarding of new datasets Skills: • Python, SQL, cloud data tools experience- Azure Data Factory)

Requirements

Must-haves

Hybrid: 2-3 days onsite in Jersey City, NJ
Builds systems that gather, store, and process large volumes of data for analysis.
Develop ETL pipelines, ensure data quality, optimize data storage solutions.
Python, SQL, cloud data tools experience- Azure Data Factory)

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

azuresqlpython

Platform: jobdiva
Effort: medium