NP
Data Engineer (Real-time Streaming)
- Moves you to
- India
- Support
- Relocation support
- Posted
- Sep 24, 2026
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About Us
The National Payments Corporation of India (NPCI) is a pivotal institution in India's digital payments ecosystem, established by the Reserve Bank of India (RBI) and the Indian Banks’ Association (IBA). It operates under the Payment and Settlement Systems Act, 2007, and is incorporated as a “Not for Profit” company under Section 25 of the Companies Act 1956 (now Section 8 of the Companies Act 2013). NPCI is dedicated to building world-class digital payment infrastructure through innovative and efficient retail payment platforms. As an Equal Opportunity Employer, NPCI is committed to fostering an inclusive workplace culture, with zero tolerance for discrimination based on race, ethnicity, disability, gender identity, or sexual orientation, including support for the LGBTQ+ community.
Our Culture
The NPCI WAY – Our Guiding Principles
At NPCI, we foster a culture of Inclusion, Innovation, and a High- Performance Workplace.
The NPCI WAY is not just a framework - it’s a shared commitment by every individual to align with our evolving business needs, dynamic market conditions, and workforce expectations.
Five Tenets of the NPCI WAY
- Forward Thinking Mind-Set
- Customer First
- Lead With Purpose
- Passion to Deliver
- All Succeed Together
Employee Perks and Benefits
Insurance & Wellness:
- Comprehensive Coverage: Medical, accidental, and life insurance.
- Employee Assistance Program: Onsite medical center, financial/legal counselling, mental wellness.
- Annual Wellness Bouquet: Holistic wellbeing support
Family & Childcare:
- Parental Leave: Inclusive maternity and paternity leave.
- Nanny at home Support: Assistance for Working Parents
Mobility & Lifestyle:
- Mobility Benefits: Relocation, transfers, and travel support.
- Home Loan Interest Support: Up to 50% reimbursement*
- Mobile Reimbursement: New handset every 2 years.
- Car Lease, Salary Advance, Subsidized Meals.
Career & Recognition:
- Education Partnerships: Upskilling via top institutions.
- Reward & Recognition Program.
- Technology Innovation: Patents and IP Rights policy.
Retirement Planning:
- Provident Fund (PF) and Gratuity Contributions.
Why Join Us
At NPCI, you’ll be part of a purpose-driven organization shaping the future of digital payments in India and beyond. NPCI offers a unique opportunity to work on cutting-edge projects that directly impact millions. We foster a culture of innovation, inclusion, and high performance, where every individual is empowered to lead with purpose and deliver with passion. With a strong focus on employee wellbeing, continuous learning, and collaborative success, NPCI is more than just a workplace - it’s a platform to grow, contribute, and make a meaningful difference.
Job Description
The Opportunity
To design and implement real-time data streaming pipelines ensuring 24×7 availability of high-volume transactional data. Your role includes building fault-tolerant, scalable systems using modern big data technologies, integrating data from multiple sources into data lakes/lakehouses, and enabling downstream analytics. You will collaborate with internal teams (Data Science, Product, and Technology) to deliver reliable data solutions, optimize performance, and maintain compliance with NPCI standards.
Job Details
- Job Title: Data Engineer (Streaming)
- Division: Data Analytics
- Years of Experience: 3–8 years
- Education: Graduation in Computer Science/IT (preferably BE/B.Tech) or equivalent; advanced degrees are a plus
- Employment Type: Full-time, Permanent
- Location: Mumbai & Hyderabad
Key Responsibilities
- Design and develop real-time data pipelines using Apache Kafka and stream processing frameworks (Spark Structured Streaming / Apache Flink).
- Ensure 24×7 data availability with fault-tolerant, highly reliable systems.
- Implement ingestion, transformation, and load (ITL) patterns for data lakes/lakehouses (S3/MinIO, HDFS).
- Work with table formats like Iceberg, Hudi, or Paimon for ACID transactions and schema evolution.
- Optimize SQL queries on Trino/Hive for large-scale analytics.
- Develop orchestration workflows using DBT, Dagster, or Airflow for data transformations.
- Write efficient code in Python, Scala, and Java for data processing and automation.
- Collaborate with cross-functional teams to understand requirements and deliver high-quality data solutions.
- Monitor pipeline health, manage checkpoints, and implement observability for streaming jobs.
- Ensure compliance with security, governance, and audit standards.
Requirements
Key Skills and Experience Required
- Mandatory Technical Skills:
- Apache Kafka (topics, partitions, offsets, reliability)
- Stream processing (Spark Structured Streaming or Apache Flink)
- Apache Kafka (topics, partitions, offsets, reliability)
- Preferred Technical Skills:
- Data Lake / Lakehouse (S3, MinIO, HDFS)
- Table formats: Iceberg, Hudi, Paimon
- SQL engines: Trino, Hive
- Orchestration tools: DBT, Dagster, Airflow
- Programming: Python, Scala, Java
- NoSQL databases (MongoDB, Cassandra, Redis)
- CI/CD (Jenkins, GitHub Actions), Linux basics
- BI tools: Superset, Tableau
- Data Quality frameworks and observability practices
- Data Lake / Lakehouse (S3, MinIO, HDFS)
- Other Requirements:
- Strong analytical and problem-solving skills
- Ability to work in 24×7 environments
- Quick adaptability to new technologies
- Strong analytical and problem-solving skills