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# Azure Data Engineer (Hybrid/Onsite/F2F)

- **Company:** GSP UNITED LLC
- **Location:** Fremont, CA, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Amazon Web Services, Microsoft Azure, Computer Programming, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Apache Hive, Python (Programming Language), SQL Azure, SQL Databases, Talend, Google Cloud, Azure Data Factory, Snowflake, Apache Spark, Data Lakes, Pyspark, Information Technology, Google Bigquery, Data Management, Azure Synapse Analytics, Amazon Redshift, Databricks
- **Published:** October 31, 2026
- **Apply:** https://www.dice.com/job-detail/6f783a1e-ee60-4a80-a94f-5e6d0d4e118d

## About the Role

Interview Mode: Video Hands on Interview on SQL, Python, Pyspark.. Azure, Azure Databricks, Fabric, ADLS/ADF etc.

12-15 Years IT Experience and 10 plus in Data Engineering space.

Must have Skills :

 1. Min 5 years of experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, AWS, Google Cloud Platform, Data Bricks etc. Azure experience is preferred over other cloud platforms.
 2. 10 + years of proven experience with SQL, schema design and dimensional data modelling. Hands on experience in SQL is a MUST.
 3. Solid knowledge of data warehouse best practices, development standards and methodologies
 4. Hands on experience with ETL/ELT tools like ADF, Informatica , Talend etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon redshift , Snowflake , Google Big Query etc..
 5. Strong experience with big data tools(Databricks , Spark etc..) and programming skills in PySpark and Spark SQL.
 6. Be an independent self-learner with "let's get this done" approach and ability to work in Fast paced and Dynamic environment.
 7. Excellent communication and teamwork abilities.