Data Engineer

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Hiring Now: Azure Data Engineer (36 Years) – Immediate Opportunity!

Location: Bangalore
Experience: 3–6 Years

Key Responsibilities:

• Design and build scalable data solutions using Azure Data Factory, Azure Databricks, and Azure Synapse.
  
• Develop ETL/ELT pipelines for structured and unstructured data from various sources and formats.
  
• Write efficient SQL queries, stored procedures, functions, and dynamic SQL for data transformation and analysis.
  
• Implement data lake architecture and optimize data ingestion using Apache Spark with Scala or Python.
  
• Handle and maintain Delta Tables within the Databricks environment.
  
• Collaborate with DevOps team to support CI/CD pipelines using Azure DevOps.
  
• Ensure data quality, performance, and availability across enterprise platforms.
  

Skills & Qualifications:

• Strong hands-on experience in:
  
• Azure Data Lake, Azure Data Factory, Azure Synapse Analytics
  
• Azure Databricks, Apache Spark(Mandatory) ,Python
  
• SQL – Joins, Stored Procedures, Dynamic Queries, etc.
  
• Ingesting and processing data from diverse sources (e.g., JSON, CSV, Parquet)
  
• Good understanding of the Azure ecosystem and services.
  
• Knowledge of Azure DevOps, pipelines, and build/release processes – Good to have
  
• Exposure to Snowflake is an added advantage
  
• Excellent communication skills and strong learning aptitude