Azure Engineer/lead (End to End Engineering Lead)

Azure Data Engineer 
Location-Fremont, CA /hybrid
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 :

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.

Nice-to-Have Skills:

1. Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service,  Cosmo DB knowledge.
2. SAP ECC /S/4 and Hana knowledge.
3. Intermediate knowledge on Power BI
4. Azure DevOps and CI/CD deployments, Cloud migration methodologies and processe