Persistent Systems
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Pune · Hybrid · 5-8 Yrs · Oct 17
Information Technology Support Services · 10000+ Employees · Pune, India
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. We have been recognized as the Fastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in the Everest Group Private Equity (PE) Services PEAK Matrix® Assessment 2026 and Software Product Engineering PEAK Matrix® Assessment 2026. Our Company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry’s best Let’s unleash your full potential at Persistent - persistent.com/careers
Hiring: Engineering
What employees say
+ Work Life Balance is good
− Salary growth is not good
More reviews on the company profile.
Interview experience · Senior RPA Developer
The 1st round was led by AI assistant. The next round was Managerial round which went well, They asked me scenario based technical questions. It was also hands-on round where they wanted to check if I can actually build
Easy difficulty · India · 1,761 reports
More interview insightsJob description
Overview
We are seeking an experienced Azure Data Engineer with strong expertise in Azure Databricks, Spark, Python, PySpark, and SQL.
Responsibilities
- Design, develop, and maintain enterprise-scale data pipelines using Azure cloud services.
- Build scalable ETL/ELT frameworks for processing structured, semi-structured, and unstructured datasets.
- Develop high-performance Spark applications using PySpark and Databricks.
- Create and manage data ingestion, transformation, validation, and orchestration processes.
- Design and implement modern data lake and Lakehouse architectures using Azure technologies.
- Optimize data processing workloads for scalability, reliability, performance, and cost efficiency.
- Develop reusable data engineering frameworks and automation capabilities.
- Support analytics, business intelligence, reporting, and machine learning initiatives through robust data solutions.
- Ensure data quality, governance, monitoring, security, and compliance standards are implemented across data platforms.
- Collaborate with business users, architects, analysts, and cross-functional engineering teams to deliver data-driven solutions.
- Perform production support, troubleshooting, root cause analysis, and performance tuning of data pipelines.
- Participate in code reviews, CI/CD implementation, deployment automation, and DevOps practices.
- Contribute to data platform modernization and continuous improvement initiatives.
- 5-11 years of experience in Data Engineering, Big Data Development, and Cloud Data Platforms.
- Strong expertise in Azure Databricks for enterprise-scale data engineering and analytics workloads.
- Advanced proficiency in PySpark for distributed data processing and optimization.
- Hands-on experience with Spark SQL, Delta Lake, DataFrames, and Spark performance tuning techniques.
- Strong programming skills in Python for data engineering, orchestration, automation, and framework development.
- Strong SQL expertise including complex query development, performance optimization, stored procedures, and data analysis.
- Experience working with relational databases and cloud-based database platforms.
- Strong understanding of distributed computing and large-scale data processing architectures.
- Experience designing scalable, secure, and high-performance cloud data platforms.
- Knowledge of dimensional modeling, Star Schema, Snowflake Schema, and enterprise data warehousing concepts.
- Experience creating curated datasets and semantic data layers for reporting and analytics.
- Familiarity with Git, CI/CD pipelines, Agile methodologies, and automated testing frameworks.
- Experience implementing monitoring, logging, operational support processes, and data quality frameworks.
- Strong troubleshooting, debugging, and performance optimization capabilities.
- Excellent communication and collaboration skills with cross-functional stakeholders.
- Expertise You'll Bring:
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
- 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
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Azure Data Engineer - Azure Databricks & PySpark at Persistent Systems?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Persistent Systems may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Azure Data Engineer - Azure Databricks & PySpark role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Azure Data Engineer - Azure Databricks & PySpark remote or on-site in Pune, Maharashtra?
- This listing is marked hybrid with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Azure Data Engineer - Azure Databricks & PySpark role at Persistent Systems?
- This is a mid-level Azure Data Engineer - Azure Databricks & PySpark role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.