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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 91171926
- Position Id: OOJ - 1849-853-1790712400
- Posted 3 hours ago
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