Persistent Systems
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Mumbai · On-site · 12+ Yrs · 4 days ago
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 an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate whats next.
Responsibilities
- About Persistent
- About Position:
- We are seeking an experienced Lead Azure Data Engineer with strong expertise in Azure Databricks, Snowflake, PySpark, and SQL to design, develop, and optimize modern cloud-based data platforms. The ideal candidate will be responsible for building scalable enterprise data solutions, leading data engineering initiatives, and enabling advanced analytics, reporting, and business intelligence capabilities across the organization.
- Role: Lead Azure Data Engineer - Snowflake & Databricks
- Location: Pune, Bengaluru, Chennai
- Design, develop, and maintain enterprise-scale data pipelines using Azure Databricks and PySpark.
- Build and optimize ETL/ELT frameworks for processing large-scale structured and unstructured datasets.
- Develop and manage Snowflake data warehouse solutions, including data modeling, transformation, and performance optimization.
- Design and implement scalable Lakehouse architectures using Azure and Snowflake platforms.
- Create reusable data ingestion, transformation, orchestration, and validation frameworks.
- Integrate data from various enterprise applications, databases, APIs, and cloud platforms into Azure Data Lake and Snowflake environments.
- Optimize data processing workloads for performance, scalability, reliability, and cost efficiency.
- Implement data governance, security, data quality, and monitoring frameworks across enterprise platforms.
- Collaborate with architects, business stakeholders, data analysts, and engineering teams to deliver business-driven solutions.
- Lead troubleshooting and resolution of production issues involving data pipelines and cloud-based data platforms.
- Participate in architecture reviews and contribute to data platform modernization initiatives.
- Implement CI/CD pipelines, deployment automation, and DevOps practices for data engineering workloads.
Qualifications
- Job Type: Full Time Employment
- Strong understanding of Data Warehousing, Dimensional Modeling, ETL/ELT architecture, and Lakehouse architecture.
- Knowledge of data governance, metadata management, security controls, and data quality frameworks.
- Strong expertise in performance tuning, workload optimization, and scalable data platform design.
- Ability to lead technical discussions, architectural reviews, and engineering initiatives.
- Strong analytical, troubleshooting .
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Job application FAQ
Last updated 6 October 2026
- How do I apply for Lead Azure Data Engineer 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 Lead Azure Data Engineer 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 Lead Azure Data Engineer remote or on-site in Mumbai, Maharashtra?
- This listing is marked on_site with location Mumbai, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Lead Azure Data Engineer role at Persistent Systems?
- This is a lead Lead Azure Data Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.