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Azure Data Engineer @ IQVIA

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 Azure Data Engineer

Job Description

Work Experience: 5 to 10 Years

Work location: Bengaluru/Pune

Work Mode: Hybrid

Must Have Skills: Data Engineering, PySpark/Python, Data Bricks/Data Lake, Azure


Key Responsibilities


  • Design, develop, and optimize scalable data pipelines using Azure Data Factory (ADF) and PySpark
  • Build and maintain robust ETL/ELT workflows across structured and semi-structured data sources
  • Write efficient, production-grade SQL queries for data transformation, validation, and reporting
  • Collaborate with data architects and analysts to ensure data integrity, performance, and security
  • Implement CI/CD pipelines for data workflows using Azure DevOps or GitHub Actions
  • Monitor and troubleshoot data pipeline performance and failures in real-time
  • Document technical designs, data flows, and operational procedures

Required Skills & Qualifications


  • 4+ years of experience in data engineering, with strong hands-on exposure to Azure ecosystem
  • Proficiency in PySpark for distributed data processing and transformation
  • Advanced SQL skills for complex joins, aggregations, and performance tuning
  • Deep understanding of Azure Data Factory, including pipeline orchestration, triggers, and linked services
  • Experience with Azure Synapse, Data Lake Storage, and Databricks is a plus
  • Familiarity with Git, CI/CD, and agile development practices
  • Strong problem-solving skills and ability to work independently in a fast-paced environment

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: IQVIA
Location(s): Pune

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Keyskills:   Pyspark Data Engineering Azure Databricks Python

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IQVIA

IQVIA Biotech provides clinical development services to the pharmaceutical, biotech, and medical device industries. They specialize in supporting smaller biotech firms by offering expertise in clinical trials, regulatory compliance, and drug development.