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 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 You'll 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 You'll 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

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.?