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Undelucram.ro Linkedin · Posted 18d ago

Data Engineer (PySpark, Azure Fabric)

Bucharest

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Indexed description

Undelucram.ro on behalf of:

Adecco Romania

  • Our client is a global technology and software engineering company specializing in digital transformation, product development, and advanced technology consulting
  • The organization partners with enterprises across industries such as finance, retail, telecommunications, healthcare, automotive, and media, helping them design, build, and scale modern digital platforms and data-driven solutions
  • 5+ years of experience in Data Engineering or related engineering roles
  • Strong experience with Azure-based data platforms, ideally Azure Fabric
  • Strong hands-on experience with Databricks
  • Good understanding of Databricks features such as Unity Catalog, Delta Lake, clusters, notebooks and jobs
  • Advanced Python programming skills
  • Hands-on experience with PySpark and SparkSQL
  • Experience implementing batch data processing pipelines
  • Experience with Spark Streaming
  • Knowledge of OneLake / Delta Lake concepts
  • Experience with Data Factory Gen2 and M-code
  • Experience implementing CI/CD pipelines (Azure DevOps or similar tools)
  • Understanding of Azure services and cloud data architecture
  • Experience integrating data platforms with Power BI
  • Design and implement scalable data pipelines using Azure Fabric
  • Develop data processing and transformation logic using Python, PySpark and SparkSQL
  • Work with OneLake and Delta Lake concepts to support modern Lakehouse data architectures
  • Develop and support solutions using Cosmos DB (NoSQL API)
  • Contribute to Azure Fabric workloads including Data Engineering, Data Factory Gen2 and Lakehouse
  • Build and optimize Spark workloads using Databricks
  • Implement CI/CD pipelines and follow DevOps best practices
  • Integrate data solutions with Power BI for reporting and analytics
  • Collaborate with AI, data science and product teams to enable data-driven and AI-powered solutions
  • Ensure data quality, performance, reliability and security across data platforms
  • Participate in Agile ceremonies and contribute to sprint deliveries
  • Support production environments and contribute to continuous improvements
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