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 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.
About Position
We are hiring experienced Data Engineer with 8 to 18 years of expertise in Snowflake, Informatica Intelligent Data Management Cloud (IDMC), and Data Modeling. The ideal candidate will have strong experience in designing and implementing enterprise-scale data platforms, building robust ETL/ELT frameworks, and delivering cloud-based analytics solutions. This role requires hands-on expertise in modern data engineering technologies, cloud platforms, and data transformation frameworks.
Role: Data Engineer
Location: All Persistent Locations
Experience: 8 to 18 Years
Job Type: Full Time Employment
What You'll Do
Design, develop, and implement scalable ETL and ELT pipelines using Snowflake, IDMC, Informatica, and Databricks.
Build and maintain enterprise data integration frameworks supporting analytics and reporting requirements.
Develop cloud-native data solutions using Azure cloud services and modern data architectures.
Create and optimize data models to support business intelligence, analytics, and operational reporting initiatives.
Collaborate with product teams, architects, platform teams, and business stakeholders to deliver high-quality data solutions.
Implement data ingestion, transformation, cleansing, and validation processes across multiple data sources.
Design and manage Snowflake-based data warehouse solutions for enterprise-scale workloads.
Develop and optimize SQL and Python-based data processing solutions.
Implement CI/CD pipelines and automation frameworks for data engineering projects.
Apply DataOps, MLOps, and LLMOps practices to streamline data and AI solution delivery.
Monitor data pipelines and platforms to ensure performance, reliability, scalability, and availability.
Ensure adherence to data governance, security, compliance, and quality standards.
Troubleshoot data-related issues and perform root cause analysis for production incidents.
Participate in Agile ceremonies including sprint planning, reviews, retrospectives, and release activities.
Create technical documentation, data flow diagrams, and operational runbooks.
Contribute to continuous improvement, automation, and best practice initiatives across the data ecosystem.
Expertise You'll Bring
8+ years of experience in Data Engineering, Data Warehousing, and Data Platform development.
Strong expertise in Snowflake and enterprise-scale data warehouse implementations.
Hands-on experience with Informatica Intelligent Data Management Cloud (IDMC) and ETL development.
Strong understanding of enterprise data modeling techniques including dimensional and relational modeling.
Proficiency in SQL for complex query development, optimization, and performance tuning.
Strong Python programming skills for data engineering and backend data processing.
Experience working with Azure cloud platforms and cloud-native data solutions.
Experience building scalable ETL/ELT frameworks and modern data pipelines.
Hands-on experience with Databricks and large-scale distributed data processing environments.
Knowledge of CI/CD implementation and deployment automation practices.
Experience with MLOps and LLMOps methodologies for AI and analytics workloads.
Familiarity with DBT (Data Build Tool) for data transformation and modeling.
Understanding of data governance, data quality, metadata management, and compliance requirements.
Experience working with containerization technologies such as Docker.
Strong analytical, troubleshooting, and problem-solving capabilities.
Experience delivering end-to-end enterprise data solutions in Agile environments.
Strong communication, stakeholder management, and collaboration skills.
Ability to work effectively across cross-functional teams and enterprise-scale programs.
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.? Python

Work arrangement
No