Senior Data Engineer

About Us:

Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm's mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology.

About the Role:

We are looking for a highly skilled Data Engineer to design, build, and optimize scalable data systems that power our products and insights. You will work closely with cross-functional teams to develop robust data infrastructure, ensure data quality, and enable data-driven decision-making across the organization.

Key Responsibilities:

Design, develop, and maintain scalable data pipelines for ingestion, processing, and storage

Build and manage ETL workflows using tools such as Apache Spark, Apache NiFi, or similar technologies

Integrate data from multiple sources into centralized data warehouses or data lakes

Collaborate with data scientists, analysts, and engineers to translate business needs into technical solutions

Ensure data quality, integrity, and reliability through validation and monitoring processes

Optimize data pipelines for performance, scalability, and efficiency

Monitor, troubleshoot, and resolve production issues with minimal downtime

Implement best practices in data governance, security, and compliances

Contribute to continuous improvement, automation, and system reliability

Document workflows, systems, and technical specification

Stay updated with emerging trends and technologies in data engineering

What You'll Do

Build systems to collect and transform complex datasets for production use

Develop and maintain backend services and data infrastructure

Implement scalable data schemas and improve data management practices

Provide insights into product performance and customer behavior

Act as a subject matter expert in data infrastructure, privacy, and security

Collaborate with stakeholders to understand and deliver on requirements

Participate in on-call rotations to support live systems

Minimum Qualifications

Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)

3+ years of experience in data engineering or backend engineering

Strong understanding of data structures and algorithms

Proficiency in Java, Python, or Scala

Strong SQL skills with the ability to write complex queries

Experience with workflow orchestration tools such as Airflow

Hands-on experience with big data technologies like Apache Spark, Kafka, or Flink

Experience with databases such as Cassandra, MongoDB, Oracle, or PostgreSQL

Familiarity with cloud platforms (AWS or GCP)

Experience with containerization tools like Docker and Kubernetes

Experience building scalable microservices using REST, Spring Boot, or gRPC

Strong problem-solving, communication, and collaboration skills

Preferred Qualifications

Experience with large-scale distributed systems

Knowledge of data security and compliance standards

Experience in building and scaling data platforms

Passion for experimentation, rapid prototyping, and innovation

Why join us

Because you get an opportunity to make a difference, and have a great time doing that .

You are challenged and encouraged here to do stuff that is meaningful for you and for those

we serve.

You should work with us if you think seriously about what technology can do for people .

We are successful, and our successes are rooted in our people's collective energy and

unwavering focus on the customer, and that's how it will always be.

Compensation:

If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 25 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India's largest digital lending story is brewing here. It's your opportunity to be a part of the story!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.