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# Azure Data Engineer

- **Company:** Intersources Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Computer Programming, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Apache Hive, SQL Azure, SAP ERP, Power BI, SAP HANA, SQL Databases, Talend, Google Cloud, Azure Data Factory, Snowflake, Apache Spark, Data Lakes, Pyspark, Google Bigquery, Data Management, Cloud Migration, Azure Synapse Analytics, Stream Analytics, Amazon Redshift, Databricks
- **Published:** July 25, 2026
- **Apply:** https://www2.jobdiva.com/portal/?a=62jdnw10t7d77ytz0lbaey9qxonk3b05a9tqw96rb7z6hlfo7xj79l9g6mp6aj2o&compid=0/jobs/26868238#/jobs/26868238

## About the Role

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.

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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