Job Title: Azure Data Engineer
Location: Fremont CA (Local will be given first preference)
Job Type: W-2 (Long Term Contract)
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 Title: Azure Data Engineer Location: Fremont CA (Local will be given first preference) Job Type: W-2 (Long Term Contract) 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 ...
Job Title: Azure Data Engineer
Location: Fremont CA (Local will be given first preference)
Job Type: W-2 (Long Term Contract)
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
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