Azure Data Engineer

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Role Overview

Senior Azure Data Engineer

Key Responsibilities

• Design, build, and maintain scalable data storage solutions using

  Azure SQL Database, Azure Data Lake, and Azure Blob Storage

• Develop and manage robust

  data pipelines

  for ingestion, processing, and transformation
• Create optimized

  data models

  to support analytics and reporting needs
• Build and maintain

  ETL/ELT pipelines

  using

  Azure Data Factory

  or similar tools
• Process and transform large-scale datasets using

  Azure Databricks and Apache Spark

• Implement

  data validation, cleansing, and quality checks

  to ensure data accuracy and reliability
• Ensure

  data security, governance, and compliance

  across the data platform
• Collaborate with data engineers, architects, and business stakeholders to translate requirements into

  scalable Azure data architectures

• Support CI/CD processes using

  Azure DevOps

Required Skills & Qualifications

• 5+ years of experience as a

  Data Engineer

  , with strong focus on

  Azure

• Hands-on expertise in:

• Azure Data Factory

• Azure Databricks

• Azure Data Lake & Blob Storage

• Strong coding skills in:

• PySpark

• Python

• SQL

• Solid understanding of

  Apache Spark (core concepts & performance tuning)

• Experience with

  Big Data technologies

• Exposure to

  Azure DevOps

  (CI/CD, pipelines)
• Strong analytical and problem-solving skills
• Good

  communication skills

  and ability to work with cross-functional teams

Nice to Have

• Experience with data governance and security frameworks
• Performance optimization for Spark and Databricks workloads
• Experience working in large-scale, enterprise data platforms