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# Data Engineer

- **Company:** Intersources Inc.
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Microsoft Azure, Big Data, Continuous Integration, Extract Transform Load (ETL), Data Warehousing, DevOps, Apache Hive, Python (Programming Language), SQL Azure, NoSQL, Azure Data Lake, Data Streaming, Data Storage Technologies, Data Ingestion, Azure Data Factory, Apache Spark, Apache Kafka, Cosmos DB, Azure Synapse Analytics, Data Pipelines
- **Published:** August 6, 2026
- **Apply:** https://www2.jobdiva.com/portal/?a=62jdnw10t7d77ytz0lbaey9qxonk3b05a9tqw96rb7z6hlfo7xj79l9g6mp6aj2o&compid=0/jobs/31700241#/jobs/31700241

## About the Role

* Experience with complex data modelling, ETL design, and using large databases in a business environment
 * Experience with building data pipelines and applications to stream and process datasets at low latencies
 * Fluent with Big Data technologies like Spark, Kafka and Hive
 * Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required
 * Designing and building of data pipelines using API ingestion and Streaming ingestion methods
 * Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential
 * Experience in developing NO SQL solutions using Azure Cosmos DB is essential
 * Working knowledge of Python is desirable.
 * Managing and optimizing data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB
 * Implementing data security measures, including encryption, access controls, and auditing, to protect sensitive information
 * Automating data pipelines and workflows to streamline data ingestion, processing, and distribution tasks
 * Utilizing Azure's analytics services, such as Azure Synapse Analytics, to provide insights and support data-driven decision-making.



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