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Azure Data Engineer
Job Location:
Job Location:
Fremont, CA - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
30 September 2026 (9 hours ago)
Posted:
Application Deadline:
28 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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 likeAzure AWS GCP Data Bricks etc. Azure experience is preferred over other cloud platforms.
10 years of proven experience withSQL 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 withETL/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 withbig data tools(Databricks Spark etc..) and programming skills in PySpark and Spark SQL.
Be an independent self-learner with lets 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 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 likeAzure AWS GCP Data Bricks etc. Azure experience is preferred over other cloud platforms.
10 years of proven experience withSQL 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 withETL/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 withbig data tools(Databricks Spark etc..) and programming skills in PySpark and Spark SQL.
Be an independent self-learner with lets 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
Required Skills:
TALENDAZUREGOOGLE BIG QUERYSAP ECCPYSPARKSQLINFORMATICAAZURE SQLAWSDATA WAREHOUSING
