Data Engineer

vor 4 Wochen


City of Melbourne, Österreich CareCone Group Vollzeit

Responsibilities Design and develop scalable data pipelines using Azure Databricks , Delta Lake, and PySpark. Build and optimize ETL/ELT workflows across Azure Data Lake Storage (ADLS) and other data sources. Implement Delta Lake for ACID transactions, versioning, and high-performance data processing. Integrate Databricks with Azure services such as Azure Data Factory, Azure Synapse, ADLS, Key Vault , and Event Hub. Develop and maintain PySpark notebooks , jobs, and workflows for batch and streaming data. Ensure data quality, reliability, and governance , including schema enforcement and validation. Monitor and optimize Databricks clusters for cost efficiency and performance . Implement CI/CD pipelines for Databricks workflows using Azure DevOps or GitHub Actions. Collaborate with data scientists, analysts, and business teams to deliver consumable datasets. Stay updated on Azure analytics ecosystem, Databricks features, and best practices . Interested Candidates can share their updated resumes on or can reach me on Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Information Services, Data Infrastructure and Analytics, and Technology, Information and Media #J-18808-Ljbffr


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