Senior Azure Data Engineer ? Databricks, Kafka & Spark

Persistent Systems · IT Services & Consulting

PUNE
On-site
Posted today
Data & AI

About the job

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 recognized 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 the market leaders transform their industries.

About Position:

We are seeking a highly skilled Senior Azure Data Engineer to design, develop, and support scalable data platforms that power advanced healthcare analytics and digital transformation initiatives. The ideal candidate will have expertise in Azure, Databricks, Kafka, Spark, Airflow, and cloud-native data engineering technologies. In this role, you will collaborate with architects, product owners, analysts, and engineering teams to build resilient, secure, and scalable data solutions capable of supporting large-scale enterprise workloads. You will play a critical role in delivering modern data platforms, real-time data processing solutions, and cloud-based analytics capabilities.

Role: Senior Azure Data Engineer – Databricks, Kafka & Spark

Location: All Persistent Locations

Experience: Between 6 to 10 Years

Job Type: Full Time Employment

What You'll Do:

Collaborate with product owners, systems analysts, architects, and engineering teams to deliver solutions aligned with Agile roadmaps.

Design, develop, test, and maintain enterprise-scale data engineering solutions on Azure and cloud platforms.

Build and maintain scalable data pipelines using Databricks, Spark, Kafka, and Airflow.

Design and implement batch and real-time data processing solutions.

Develop and optimize data integration frameworks using APIs, streaming technologies, and cloud-native services.

Work with relational and non-relational databases to support enterprise data platforms.

Develop and maintain RESTful API integrations and data services.

Implement data ingestion, transformation, orchestration, and data quality processes.

Collaborate with solution architects to evaluate functional and non-functional requirements.

Support Data as a Service (DaaS) and Container as a Service (CaaS) initiatives.

Build and maintain deployment automation, CI/CD pipelines, monitoring, and operational frameworks.

Troubleshoot production issues and participate in root cause analysis activities.

Utilize ServiceNow and ITSM processes for incident and problem management.

Implement reliability engineering, fault-tolerant architecture, deployment planning, and automated testing practices.

Ensure data platform scalability, performance, reliability, and security.

Participate in code reviews and contribute to engineering best practices and standards.

Mentor junior engineers and contribute to knowledge-sharing initiatives.

Expertise You'll Bring:

6–10 years of experience in Data Engineering and cloud-based application development.

Strong hands-on experience with Azure or AWS cloud platforms.

Minimum 5 years of experience working with Databricks and Kafka.

Strong expertise in Apache Spark and distributed data processing.

Experience building scalable batch and streaming data pipelines.

Hands-on experience with Apache Airflow for workflow orchestration and automation.

Experience working with Snowflake data warehouse solutions.

Strong understanding of Data Lake, Data Warehouse, and Lakehouse architectures.

Proficiency in SQL and performance optimization techniques.

Experience working with relational and non-relational databases.

Working knowledge of RESTful APIs and enterprise integration patterns.

Strong understanding of data modeling, data governance, and data quality frameworks.

Experience implementing CI/CD pipelines and DevOps practices.

Familiarity with Docker, Kubernetes, and container-based deployments is preferred.

Experience using monitoring, logging, and observability tools.

Experience working with Agile delivery methodologies and Scrum teams.

Knowledge of software engineering practices including reliability engineering, deployment planning, and fault-tolerant architectures.

Experience with ServiceNow and incident management processes.

Strong analytical, troubleshooting, and problem-solving skills.

Excellent communication, collaboration, and stakeholder management capabilities.

Ability to work independently and effectively within cross-functional teams.

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.”

Apply on Persistent Systems