Full Stack Python Engineer - GCP
Persistent Systems
About the role
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 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 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 26 sequential quarters of growth with $487.6M in Q4 FY26 revenue, up 7.8% Q-o-Q and 20.0% Y-o-Y.
Our 29,500+ global 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 looking for an experienced Full Stack Python Engineer - GCP with strong expertise in building scalable data processing, integration, and cloud-native application solutions. The ideal candidate will have hands-on experience with Python, REST APIs, BigQuery, Apache Beam, Dataproc, and SQL. You will play a key role in designing enterprise-grade data platforms, developing backend services, and implementing large-scale data processing solutions on Google Cloud Platform (GCP).
- Role: Full Stack Python Engineer - GCP
- Location: Bengaluru, Hyderabad
- Experience: 5 to 10 Years
- Job Type: Full-Time Employment
What You'll Do
- Design and develop enterprise applications and backend services using Python.
- Build and maintain scalable REST APIs and reusable service components.
- Develop data ingestion, transformation, and processing solutions on Google Cloud Platform.
- Implement and optimize large-scale data processing solutions using BigQuery.
- Build Apache Beam pipelines for batch and streaming data processing workloads.
- Develop and support distributed data processing solutions using Dataproc, Spark, and PySpark.
- Integrate applications with databases, cloud platforms, enterprise systems, and third-party APIs.
- Design reusable frameworks for data ingestion, validation, transformation, and data publishing.
- Implement logging, monitoring, exception handling, and data quality controls across applications and pipelines.
- Develop unit tests, integration tests, and participate in peer code reviews.
- Troubleshoot application, API, and data pipeline issues across development and production environments.
- Collaborate with architecture, DevOps, security, and engineering teams to deliver production-ready solutions.
- Follow best practices for scalability, security, performance optimization, and maintainability.
- Contribute to CI/CD implementation and automated deployment processes.
Expertise You'll Bring
- Bachelor's Degree in Engineering, Computer Science, Information Technology, BCA, MCA, or equivalent qualification.
- 5-10 years of experience in Python application development and data engineering.
- Strong hands-on programming experience using Python.
- Extensive experience designing and developing RESTful APIs and backend services.
- Strong SQL skills and knowledge of data processing concepts.
- Hands-on experience working with Google Cloud Platform (GCP).
- Strong experience with BigQuery for analytical and large-scale data processing workloads.
- Experience building data processing solutions using Apache Beam.
- Experience with Dataproc, Spark, and PySpark for distributed computing.
- Understanding of both batch and streaming data processing architectures.
- Experience integrating applications with databases, APIs, cloud services, and enterprise platforms.
- Strong understanding of software engineering principles, design patterns, and coding best practices.
- Experience with unit testing, integration testing, and code quality standards.
- Familiarity with Git, CI/CD pipelines, and DevOps practices.
- Strong analytical, troubleshooting, and problem-solving skills.
- Experience working within Agile development methodologies.
- Excellent communication and collaboration skills.
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.”
GCP,Python
Eligibility & process
Who can apply
Employment type: Full-time
Skills & stack
Selection process
Details are shared by the recruiter after shortlisting.
Prep kit
20 resourcesStudy material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Behavioural & HR questions 3
Highlight Persistent Systems's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Competitive Package
Bengaluru, India
Employment type: Full-time
