Senior Azure Data Engineer

Persistent Systems Limited; Chennai District; Hybrid; INR 2,500,000 - 5,000,000; Full time

Benefits offered by this job

Hybrid work

Accessible office

Long Service awards

Insurance coverage

Job summary

Persistent Systems Limited is seeking a Senior Azure Data Engineer with 8–12 years of experience to design and build scalable data platforms on Azure for enterprise analytics.

You will architect batch and streaming pipelines using Azure Databricks, PySpark, Python, and Kafka, implement Delta Lake medallion architecture, and enforce data governance and access controls for secure, high-performance data solutions.

Qualifications

• 8 to 12 years of experience in Data Engineering.
• 2-Strong hands-on expertise in Azure Databricks, Apache Spark, PySpark, Delta Lake, and medallion architecture.
• 3-Extensive experience in ETL/ELT pipeline design, development, orchestration, optimization.
• 4-Strong proficiency in Python and SQL, including reusable development and complex transformations.
• 5-Hands-on experience with Kafka and real-time or streaming data processing.
• 6-Strong experience in data governance using Unity Catalog, access control with Microsoft Entra ID, and enterprise data modeling.
• 7-Experience with Azure Data Factory, ADLS, Git, CI/CD, Azure DevOps, data quality, monitoring, and security practices.

Responsibilities

• Architect, design, and develop scalable batch and streaming data pipelines using Azure Databricks, PySpark, Python, and Kafka.
• Build and optimize enterprise-grade ETL/ELT workflows for high-volume, complex data processing.
• Design and implement bronze, silver, and gold data layers using Delta Lake and medallion architecture.
• Develop reusable Databricks notebooks, Python modules, and PySpark frameworks for ingestion, transformation, validation, and orchestration.
• Lead performance tuning, production troubleshooting, code reviews, deployment practices, and technical collaboration across engineering teams.

Skills

Azure Databricks

PySpark

Python

SQL

Kafka

ETL

Medallion architecture

Data governance

Data modeling

Apache Spark

Delta Lake

Azure Data Factory

ADLS

Git

CI/CD

Azure DevOps

Tools

Delta Lake

Azure Data Factory

ADLS

Git

CI/CD

Azure DevOps

Job description

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.

We are looking for a Senior Azure Data Engineer with 8 to 12 years of experience and strong expertise in Azure Databricks, ETL, PySpark, medallion architecture, Kafka, Python, SQL, data governance, and data modeling. The candidate will design and deliver scalable, secure, and high-performance data platforms on Azure for enterprise analytics and business use cases.The ideal candidate will provide technical leadership, collaborate with cross-functional stakeholders, and build reliable batch and streaming data solutions while ensuring data quality, governance, access control, performance, and scalability across the Azure ecosystem.

• Experience: 8 to 12 Years
• Job Type: Full Time Employment

What You'll Do:

• Architect, design, and develop scalable batch and streaming data pipelines using Azure Databricks, PySpark, Python, and Kafka
• Build and optimize enterprise-grade ETL/ELT workflows for high-volume, complex data processing
• Design and implement bronze, silver, and gold data layers using Delta Lake and medallion architecture
• Develop reusable Databricks notebooks, Python modules, and PySpark frameworks for ingestion, transformation, validation, and orchestration
• Design Kafka-based streaming solutions and integrate real-time data sources with the Azure data platform
• Establish data governance using Unity Catalog, including catalog and schema management, lineage, auditing, and controlled data access
• Implement role-based access control using Microsoft Entra ID and define secure access policies across data assets
• Create scalable conceptual, logical, and physical data models aligned with analytics and business requirements
• Lead performance tuning, production troubleshooting, code reviews, deployment practices, and technical collaboration across engineering teams

Expertise You'll Bring:

• 8 to 12 years of experience in Data Engineering, including ownership of complex enterprise data solutions
• Strong hands-on expertise in Azure Databricks, Apache Spark, PySpark, Delta Lake, and medallion architecture
• Extensive experience in ETL/ELT pipeline design, development, orchestration, optimization, and production support
• Strong proficiency in Python and SQL, including reusable development, complex transformations, and query optimization
• Hands-on experience with Kafka and real-time or streaming data processing
• Strong experience in data governance using Unity Catalog, access control with Microsoft Entra ID, and enterprise data modeling
• Experience with Azure Data Factory, ADLS, Git, CI/CD, Azure DevOps, data quality, monitoring, and security practices
• 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
• 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

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