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. Must have

Skills :

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. 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 Please share your profile at