Senior Azure Data Engineer

4 days ago

Hyderabad Kolkata Noida, India Launchio Consulting Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title: Azure Data Engineer (ADF, Databricks, SQL)

Experience: 8 to 12 Years

Location: PAN India Available

Notice Period: Immediate to 30 Days

Employment Type: Full-time

Job Summary:

  • We are seeking a skilled and experienced Azure Data Engineer to join our growing team. The ideal candidate should have a strong background in Azure Data Factory (ADF), Azure Databricks (ADB), SQL, and Pyspark, with hands-on expertise in building and optimizing scalable data pipelines and end-to-end ETL workflows in the Azure environment.

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines using Azure Databricks integrated with various data sources and cloud platforms.
  • Create and manage ETL workflows and orchestrate pipelines using Azure Data Factory (ADF).
  • Develop Databricks Jobs for efficient data processing, data quality validation, and report generation.
  • Perform advanced SQL/T-SQL queries and optimizations to support business analytics.
  • Collaborate in code and design reviews to ensure high-quality deliverables and maintain coding standards.
  • Implement automation across Azure stack for data ingestion, transformation, and validation processes.
  • Utilize Python and Pyspark for data manipulation, transformation, and automation tasks.
  • Optimize data querying and processing layers to support performance and analytical needs.

Required Skills:

  • Minimum 8+ years of experience working with Azure-based data solutions.

Strong proficiency in:

  • Azure Databricks (ADB)
  • Azure Data Factory (ADF)
  • SQL / TSQL
  • Pyspark
  • Python

Experience with Azure services like:

  • Azure Data Lake
  • Azure SQL Database / SQL Server
  • Solid understanding of data engineering best practices and cloud-based ETL strategies.

Preferred Skills:

  • Exposure to DevOps, CI/CD pipelines for data deployments.
  • Knowledge of data security, governance, and monitoring in the Azure ecosystem.

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