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 whats 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 18 of the Fortune 50 companies 7 of the 10 top US banks 9 of the 10 technology companies and numerous innovators across the healthcare ecosystem.

Our disruptors 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 26sequential quarters of growth with $487.6M in Q2 FY27 revenue up 7.8% Q-o-Q and 20.0% Y-o-Y. Our 29500global team members located in 21 countries have been instrumental in helping the market leaders transform their industries. We received five awards at the ISG (Information Services Group) Provider Lens Awards 2026 and for the second year in a row were awarded the Growth Honor of the Year at the Everest Group Elevate 2026.

About Position:

We are seeking a skilled GCP Data Engineer with 3 to 5 years of experience in designing developing and maintaining scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have strong expertise in cloud-native data engineering ETL/ELT pipeline development Python programming and data warehousing technologies. You will play a key role in building reliable and efficient data platforms that support analytics reporting and business intelligence initiatives. Working closely with data analysts data scientists and cross-functional teams you will help deliver scalable high-quality and secure data solutions.

• Role: Data Engineer
• Location: All Persistent Locations
• Experience: 3 to 5 Years
• Job Type: Full-Time Employment

What Youll Do:

• Design develop and maintain scalable ETL/ELT data pipelines on Google Cloud Platform (GCP).
• Implement batch and streaming data ingestion frameworks using GCP services such as Dataflow Dataproc Pub/Sub and Composer.
• Build manage and optimize cloud-based data warehouses and data lakes using BigQuery and Cloud Storage.
• Develop efficient Python-based data processing transformation and automation solutions.
• Optimize data pipelines for performance scalability reliability and cost efficiency.
• Extract transform and load data from multiple sources including APIs databases flat files and streaming platforms.
• Work with structured semi-structured and unstructured datasets to support business requirements.
• Ensure data quality integrity governance and compliance across all data pipelines and platforms.
• Collaborate with data analysts data scientists architects and business stakeholders to deliver data-driven solutions.
• Troubleshoot and resolve data pipeline performance issues and production incidents.
• Document data workflows schemas architectures and processes to ensure maintainability and knowledge sharing.
• Participate in code reviews and contribute to engineering best practices and standards.

Expertise Youll Bring:

• 3 to 5 years of hands-on experience in Data Engineering and cloud-based data platform development.
• Strong experience with Google Cloud Platform (GCP) services including BigQuery Cloud Storage Dataflow Dataproc Pub/Sub and Composer.
• Strong programming expertise in Python for data engineering automation and transformation workloads.
• Good understanding of SQL development query optimization and performance tuning techniques.
• Hands-on experience designing and implementing ETL/ELT pipelines.
• Experience with batch and real-time streaming data processing.
• Strong understanding of data modeling schema design and data warehousing concepts.
• Familiarity with data formats such as Parquet Avro JSON and CSV.
• Experience integrating data from APIs databases and external systems.
• Knowledge of cloud-native architecture patterns and modern data engineering practices.
• Understanding of data quality frameworks monitoring and governance principles.
• Strong analytical troubleshooting and problem-solving skills.
• Experience working in Agile development environments.
• Excellent communication and collaboration skills with 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

Lets unleash your full potential at Persistent- is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.