Azure Data Engineer

Location-Fremont, CA (Remote PST Hours)

Job Type-Long Term

Client: Lam Research

Rate: $60/hr

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