Summary
✨ AI‑Generated
Work as an Azure-focused Data Engineer on a long-term hybrid engagement. The role requires deep expertise in SQL, data modeling, cloud data engineering, ETL/ELT, data warehouses, and data lakes, with hands-on experience using Azure services and modern distributed data technologies. Extensive professional experience is expected.
Highlights
Long-term hybrid contract with hands-on work across modern cloud data platforms, advanced data engineering, and large-scale data warehousing.
Description
Azure Data Engineer_Fremont, CA(Hybrid/Locals Only)_Long Term Contract (C2C)
Position: Azure Data Engineer
Location-Fremont, CA (Hybrid/Locals Only)
Job Type-Long Term
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.
Job Description:
Must have Skills :
*Min 5 years of experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, AWS, GCP, Data Bricks etc.
Azure experience is preferred over other cloud platforms.
*10 + years of proven experience with SQL, schema design and dimensional data modelling.
Hands on experience in SQL is a MUST.
*Solid knowledge of data warehouse best practices, development standards and methodologies
*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..
*Strong experience with big data tools(Databricks , Spark etc..) and programming skills in PySpark and Spark SQL.
*Be an independent self-learner with “let’s get this done” approach and ability to work in Fast paced and Dynamic environment.
*Excellent communication and teamwork abilities.
Nice-to-Have Skills:
*Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Cosmo DB knowledge.
*SAP ECC /S/4 and Hana knowledge.
*Intermediate knowledge on Power BI
*Azure DevOps and CI/CD deployments, Cloud migration methodologies and processe
