Data Engineering Expert: SQL, Databricks, Azure Data Factory

Experienced Data Engineer – MS SQL | Databricks | Azure Data Factory (Long-Term Project)

Description:

We are looking for a skilled Data Engineer with 6+ years of experience for a long-term project. You will work closely with our team in a screen-sharing environment, taking control when needed to deliver high-quality data engineering solutions.

Key Responsibilities:

Design, build, and manage data pipelines using Azure Data Factory.
Develop and optimize data workflows in Databricks (PySpark or Scala).
Write and maintain complex queries and stored procedures in MS SQL Server.
Connect and integrate data from multiple sources (cloud and on-prem).
Debug and resolve data quality and performance issues.
Collaborate via daily screen-sharing sessions to ensure alignment and progress.

Primary Skills Required:
Strong experience with MS SQL Server (T-SQL, performance tuning, indexing).
Solid hands-on experience with Databricks (preferably on Azure).
Proficient in using Azure Data Factory for ETL/ELT workflows.
Experience with Azure ecosystem (Blob Storage, Data Lake, etc.).
Understanding of data modeling and warehousing concepts.
Ability to work independently and collaboratively in a remote setup.