Job Title: Data Engineer Location: Fremont, CA, USA Work Mode: Hybrid Client: LAM Research Job Description: Must Have skills: Minimum 5+ years (Onsite resources)/2+ years (Offshore resources) 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. Minimum 12 + years (Onsite resources)/5+ years (Offshore resources) of proven experience with SQL, schema design and dimensional data modelling Solid knowledge of data warehouse best practices, development standards and methodologies 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. Some resources with 2+ years of experience with Power BI 5+ years of experience with any reporting/visualization tool like Tableau/OBIEE etc. Nice to have skills Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Cosmo DB knowledge. SAP ECC /S/4 and Hana knowledge. - Azure DevOps and CI/CD deployments, Cloud migration methodologies and processes