Hiring For Azure Databricks, Data Factory

2 weeks ago

Delhi Hyderabad NCR Pune, India Coforge Full time ₹ 5,00,000 - ₹ 8,00,000 per year

Job Responsibilities

  • Lead a team of Data Engineers and Senior Data Engineers, providing technical guidance and mentorship.
  • Design, develop, and maintain scalable ETL pipelines using Azure Services.
  • Process, transform, and load large datasets into AWS Datalake or other data stores.
  • Collaborate with cross-functional teams including data architects, analysts, and business stakeholders to gather requirements and deliver efficient data solutions.
  • Implement and maintain data pipelines for ingestion, processing, and transformation in Azure.
  • Work closely with data scientists and analysts to understand data needs and create effective workflows.
  • Create and manage data storage solutions such as Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
  • Develop and maintain ETL operations using Azure Data Factory or similar technologies.
  • Ensure data quality, integrity, and reliability through validation and cleansing procedures.
  • Optimize data pipelines for scalability, efficiency, and cost-effectiveness.
  • Monitor and troubleshoot data pipeline issues to ensure data consistency and availability.

Key Skill Sets Required

  • Proven experience in designing and developing cloud-based analytics solutions.
  • Expert-level knowledge of:
  • Azure Data Factory
  • Azure Synapse
  • Azure SQL
  • Azure Data Lake
  • Azure App Service
  • Experience in building data pipelines using API and streaming ingestion methods.
  • Familiarity with DevOps processes including CI/CD and Infrastructure as Code.
  • Strong understanding of data warehouse modeling principles (Kimball, Inmon).
  • Desirable knowledge of:
  • Azure Databricks
  • Azure IoT
  • Azure HDInsight + Spark
  • Azure Stream Analytics
  • Power BI
  • Working knowledge of Python is a plus.
  • Experience in developing security models.

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