Job Description
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, 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
Job Tags
Remote work
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