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Energy • Appliances • Industrial • Manufacturing
Design, build, and optimize scalable Azure data platforms and lakehouse architectures. Develop ETL/ELT pipelines (PySpark/Spark SQL), enable Power BI datasets, implement CI/CD and IaC, ensure data governance/quality with Purview, support cloud migrations and production operations while collaborating with stakeholders and agile teams.
Top Skills:
Api ManagementArm TemplatesAzure Data Factory (Adf)Azure Data Lake Storage (Adls Gen2)Azure DevopsAzure Integration ServicesAzure ReposAzure Sql DatabaseBicepDatabricksErpEvent GridEvent-Driven ArchitecturesFabric PipelinesFunction AppsGitJenkinsJSONLogic AppsMdmMicrosoft FabricMicrosoft PurviewOdataPower BIPysparkPythonRest ApisService BusSpark SqlSQLSsasSsisSsrsTerraformXML
Appliances • Industrial • Manufacturing
Design, build, and optimize scalable Azure data platforms and lakehouse architectures. Develop ETL/ELT pipelines (PySpark, ADF, Fabric), enforce data governance and quality, enable Power BI reporting, lead cloud migration and CI/CD, and provide production support and performance tuning across enterprise data systems.
Top Skills:
AdfAdls Gen2Api ManagementArm TemplatesAzureAzure Data FactoryAzure Data Lake StorageAzure DevopsAzure FabricAzure Integration ServicesAzure SqlAzure Sql DatabaseBicepDatabricksErpEvent GridEvent-Driven ArchitecturesFabric PipelinesFunction AppsGitJenkinsJSONLogic AppsMdmMicrosoft FabricMicrosoft PurviewOdataPimPower BIPysparkPythonRest ApisSemantic ModelsService BusSpark SqlSQLSsasSsisSsrsTerraformXML
Software
Design, build, and maintain scalable cloud data pipelines and ETL/ELT processes using Azure Data Factory, Snowflake, SQL, and Python. Integrate enterprise and third-party data, validate and model datasets for BI, reporting, automation, and AI, monitor and optimize pipeline performance, and document data flows while partnering with stakeholders.
Top Skills:
APIsAzure Data FactoryAzure Data Lake StorageDbtGa4JSONMarketoPythonSalesforceSnowflakeSQLWorkdayXML
Must Have: Certification: Required – Microsoft Certified: Azure Data Engineer Associate (or higher), Azure Data Factory,
Job Summary:
We are seeking a highly skilled Data Engineer with strong expertise in Azure Data Factory, Azure Databricks, Oracle, and PostgreSQL. The ideal candidate will design and implement robust data pipelines, optimize data flows, and contribute to our cloud data platform initiatives using the Microsoft Azure ecosystem.
Key Responsibilities:
- Design, build, and maintain scalable data pipelines using Azure Data Factory and Databricks (Spark-based).
- Ingest, transform, and orchestrate data from various sources including Oracle and PostgreSQL databases.
- Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver clean, reliable data.
- Optimize performance of data workflows, especially within Azure environments.
- Implement data quality checks, lineage tracking, and monitoring processes.
- Follow and contribute to data governance, security, and compliance policies.
- Participate in code reviews, documentation, and continuous improvement initiatives.
Required Skills & Experience:
- Strong hands-on experience with Azure Data Factory and Azure Databricks (PySpark/Scala preferred).
- Solid working knowledge of Oracle and PostgreSQL databases, including writing efficient SQL queries.
- Proficient in building ETL/ELT workflows and data orchestration on Azure.
- Experience with Azure storage solutions (Blob Storage, ADLS Gen2).
- Strong understanding of data modeling, warehousing concepts, and performance optimization.
- Familiarity with CI/CD pipelines in Azure DevOps is a plus.
- Excellent problem-solving skills and ability to work independently or in a team.
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