Lead Data Engineer

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 have delivered 21 sequential quarters of growth with $389.7M in Q1 FY26 revenue, up 3.9% Q-o-Q and 18.8% Y-o-Y growth. Our 25,000+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been named the fastest-growing Indian IT services brand in the Brand Finance India 100 2025 report. We were also cited as a Leader in the ISG Provider Lens™ 2025 for Digital Engineering Services 2025 and the Everest Group Talent Readiness for Next-generation Application Services PEAK Matrix® Assessment 2025 About Position Lead Data Engineer role driving end-to-end Azure and Snowflake data solutions, ensuring scalable pipelines, strong governance, and technical leadership across data engineering teams. Role: Lead Data Engineer Location: Pune Experience: 8 to 12 years Job Type: FTE What You'll Do Design and implement end-to-end data solutions (Azure & Snowflake) Lead ETL/ELT pipelines using ADF, ADLS, Synapse Provide technical leadership, code reviews, and best practices Ensure performance, scalability, security, and cost optimization Collaborate with stakeholders to build scalable data solutions Drive data modelling, governance, and quality standards Troubleshoot issues and support delivery planning Expertise You'll Bring 8–12 years in Data Engineering with team handling experience Strong in Azure (ADF, ADLS Gen2, Synapse) Hands-on Snowflake experience Expertise in ETL/ELT pipelines Advanced SQL and data modelling Good to Have StreamSets, Kafka/Event Hub (streaming) Lakehouse (Databricks), Python Data governance & CI/CD exposure 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. Snowflake,DBT,Azure