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Azure Data Engineer

Azure Data Engineer

Persistent Systems
4-8 Years
  • Posted 4 days ago
  • Over 50 applicants have applied

Job Description

About Position:

We are looking for an Azure Data Engineer with 4 to 8 years of experience and strong expertise in Azure Databricks, ETL, and PySpark. The candidate will be responsible for designing and building scalable, high-performance data solutions on Azure to support analytics and business use cases. The ideal candidate will collaborate with cross-functional teams to develop reliable data pipelines and ensure high standards of performance, data quality, security, and scalability across the Azure ecosystem.

  • Role: Azure Data Engineer
  • Location: Bangalore, Pune & Chennai
  • Experience: 4 to 8 Years
  • Job Type: Full Time Employment

What You'll Do:

  • Design, develop, and optimize scalable data pipelines using Azure Databricks and PySpark
  • Build and maintain robust ETL/ELT workflows for batch and large-scale data processing
  • Develop reusable Databricks notebooks and PySpark components for data ingestion, transformation, and validation
  • Integrate data from multiple structured and unstructured sources into the Azure data platform
  • Design and implement Delta Lake and medallion architecture for reliable and efficient data processing
  • Orchestrate and monitor data pipelines using Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and related Azure services
  • Implement data quality, governance, security, monitoring, and performance-tuning mechanisms
  • Collaborate with business, analytics, and engineering teams to translate requirements into production-ready data solutions
  • Troubleshoot and resolve ETL pipeline, Databricks, PySpark, and production issues

Expertise You'll Bring:

  • 4 to 8 years of experience in Data Engineering
  • Strong hands-on experience with Azure Databricks, Apache Spark, PySpark, and Delta Lake
  • Strong experience in designing, developing, and optimizing ETL/ELT pipelines
  • Good proficiency in SQL, data transformation, and query optimization
  • Experience with Azure services such as Data Factory (ADF), Data Lake Storage (ADLS), and Synapse
  • Strong understanding of data warehousing, data modeling, medallion architecture, and pipeline design
  • Working knowledge of Git, CI/CD practices, and Azure DevOps

Benefits:

  • Competitive salary and benefits package
  • Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
  • Opportunity to work with cutting-edge technologies
  • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
  • Annual health check-ups
  • Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

  • We support hybrid work and flexible hours to fit diverse lifestyles.
  • Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
  • If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

Let's unleash your full potential at Persistent - persistent.com/careers

Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.

More Info

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Key Skills

Azure Data Lake Storage (ADLS)

Delta Lake

CI/CD

Azure Data Factory (ADF)

Medallion architecture

About Company

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