Azure Cloud Data Engineer

Job Description

About Persistent

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.

Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognised across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27,500+ global team members, located in 18 countries, have been instrumental in helping market leaders transform their industries.

About Position:

We are seeking a highly skilled Azure Cloud Data Engineer with strong expertise in designing, developing, and optimizing enterprise-scale data platforms on Microsoft Azure. The ideal candidate will have hands-on experience in Azure Databricks, Apache Spark, PySpark, Kafka, Python/Scala, and modern Data Engineering practices supporting both batch and real-time data processing workloads.

Role: Azure Cloud Data Engineer

Location: Pune, Airoli, Mumbai

Experience: 6 to 8 Years

Job Type: Full Time Employment

What You'll Do:

Design, develop, and maintain scalable data pipelines using Azure Databricks, Apache Spark, and PySpark.

Build robust batch and streaming data ingestion frameworks for enterprise-scale data processing.

Develop ETL/ELT solutions for structured, semi-structured, and unstructured data sources.

Implement data transformation, enrichment, cleansing, and validation processes.

Develop real-time data processing solutions using Kafka and event-driven architectures.

Design and implement streaming pipelines supporting low-latency analytics and business use cases.

Work with large-scale datasets and optimize distributed data processing workloads.

Support real-time monitoring and operational reporting capabilities.

Build and manage cloud-native data solutions on Microsoft Azure.

Develop solutions leveraging Azure Databricks and modern Lakehouse architectures.

Manage and optimize Databricks clusters for performance, scalability, and cost efficiency.

Utilize Delta Lake and cloud storage solutions to support analytics and reporting workloads.

Ensure data quality, integrity, consistency, and reliability across data platforms.

Implement reconciliation, validation, monitoring, and exception handling frameworks.

Troubleshoot pipeline failures and drive root cause resolution.

Support governance, security, and compliance requirements for enterprise data environments.

Collaborate with Architects, Data Scientists, Analysts, Business Stakeholders, and Engineering Teams.

Translate business requirements into scalable technical solutions.

Participate in design discussions, code reviews, and architecture reviews.

Support Agile delivery and continuous improvement initiatives.

Expertise You'll Bring:

6-8 years of experience in Data Engineering and Cloud Data Platforms.

Strong hands-on expertise in Azure Databricks

Apache Spark

PySpark

Azure Data Services

Experience building enterprise-scale data processing solutions on Microsoft Azure.

Strong understanding of cloud-native data platform architectures.

Strong programming skills in Python

PySpark

Scala (Preferred)

Experience developing scalable and reusable data engineering frameworks.

Strong coding, debugging, and performance optimization capabilities.

Experience implementing Data Validation

Reconciliation

Error Handling

Monitoring

Alerting

Strong understanding of production support and operational excellence practices.

Experience maintaining highly reliable data platforms.

Experience with Delta Lake and Lakehouse architectures.

Exposure to Azure Data Factory (ADF).

Knowledge of CI/CD pipelines and DevOps practices.

Familiarity with Azure DevOps, Git, and release automation.

Experience supporting Analytics, AI, and Machine Learning initiatives.

Understanding of cloud security and governance standards.

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 hospitalisation 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

1

Open Positions

Python,Databricks

Skills Required

Mumbai

Location

Python,Databricks

Desirable Skills

181986

Job Code