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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
Information Technology • Machine Learning • Marketing Tech • Software • App development • Generative AI
Lead design and implementation of scalable Azure-based data pipelines and architectures using ADF, Synapse, Spark/Databricks, and Power BI. Mentor engineering teams, ensure data security/compliance, collaborate with stakeholders, and drive adoption of best practices and new technologies.
Top Skills:
SparkAzure Data FactoryAzure SynapseDatabricksAzureMicrosoft FabricPower BI
Professional Services • Software
The Azure Data Engineer will design and develop ETL processes, utilizing Python and Azure Synapse Analytics, to manage data integration and ensure data accuracy. Responsibilities include performance tuning, data modeling, and collaboration across teams.
Top Skills:
Azure Key VaultAzure Synapse AnalyticsPower BIPysparkPythonSparksqlSQLTableau
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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