Data Engineer – Azure

2 weeks ago

Mysore, Karnataka, India vueverse. Full time

Hybrid Role: Blr/HYD/Pune/Chennai

Job Description

We are looking for a skilled Data Engineer with strong expertise in the Azure Data Platform to design, develop, and optimize large-scale data pipelines and analytics solutions. The ideal candidate should have deep hands-on experience with Azure Databricks, PySpark, Azure Data Factory, and Synapse Analytics, with a focus on performance tuning and scalable design.

Key Responsibilities

  • Develop and optimize data pipelines using Azure Data Factory (ADF) for ingestion into Azure Databricks (ADB).
  • Implement PySpark transformations in Databricks with a strong focus on performance tuning.
  • Build and maintain data layers (raw, curated, presentation) and ensure efficient export strategies for reporting and analytics.
  • Work with Azure Synapse for advanced querying, transformations, and reporting.
  • Configure and manage Azure Monitoring & Log Analytics for pipeline health, error handling, and automated alerts.
  • Implement automation using Logic Apps and Azure Functions for workflow orchestration and integration.
  • Ensure high-performance and scalable architecture across Databricks, Data Factory, and Synapse.
  • Collaborate with stakeholders to define best practices for data access, connection options, and reporting performance.

Required Skills

  • Strong hands-on experience with Azure Databricks (PySpark, performance tuning, data modeling).
  • Proficiency in Azure Data Factory (ADF) – pipeline development, monitoring, troubleshooting.
  • Solid understanding of Azure Synapse Analytics (SQL Pools, performance optimization).
  • Experience with Azure Monitoring, Log Analytics, and error-handling frameworks.
  • Good knowledge of Logic Apps & Azure Functions for automation and orchestration.
  • Strong understanding of data architecture patterns (data lakes, data warehouses, reporting layers).
  • Excellent troubleshooting, performance optimization, and analytical skills.

Good to Have

  • Experience with CI/CD for data pipelines (Azure DevOps).
  • Knowledge of Delta Lake and Lakehouse architecture.
  • Exposure to BFSI/Insurance domain data solutions.

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