Data Engineering - Technical Lead

One97 Communications Limited; Bengaluru; On-site; INR 3,800,000 - 6,000,000; Full time

Job summary

Paytm is India's leading mobile payments and financial services distribution company. Build systems for collection & transformation of complex data sets for use in production systems. Collaborate with engineers on building & maintaining back‑end services.

Implement data schema and data management improvements for scale and performance. Provide insights into KPIs for product and customer usage. Serve as team's authority on data infrastructure, privacy controls and data security.

Qualifications

• Bachelor’s degree in computer science, computer engineering or related field, or equivalent.
• 6+ years of progressive experience with strong architecture and engineering skills.
• Fluent in Java, Python, Scala with strong SQL and complex queries.
• Experience with Airflow-like orchestration tools and cross-functional collaboration.
• Experience with Spark, Kafka, Flink; backend databases and cloud platforms; containers.

Responsibilities

• Design, develop, and maintain scalable data pipelines for ingestion, processing, and storage.
• Implement data integration to centralized data warehouse or data lake.
• Collaborate with data scientists and analysts to translate requirements.
• Ensure data quality and integrity with robust validation and cleansing.
• Optimize pipelines for performance, scalability, and reliability.
• Develop ETL using Spark, NiFi, or similar technologies.
• Monitor and troubleshoot pipeline issues with minimal downtime.
• Follow best practices for data management, security, and compliance.
• Document processes, workflows, and specs.
• Stay updated on data engineering trends and technologies.

Skills

Java

Python

Scala

SQL

Soft skills

Education

Bachelor's degree in computer science, computer engineering or a related field, or equivalent

Tools

Apache Spark

Kafka

Flink

Apache NiFi

Cassandra

MongoDB

Oracle

PostgreSQL

AWS

GCP

Kubernetes

Docker

Spring Boot

REST

gRPC

Job description

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.

Job Summary

Build systems for collection & transformation of complex data sets for use in production systems. Collaborate with engineers on building & maintaining back‑end services. Implement data schema and data management improvements for scale and performance. Provide insights into key performance indicators for the product and customer usage. Serve as team's authority on data infrastructure, privacy controls and data security. Collaborate with appropriate stakeholders to understand user requirements. Support efforts for continuous improvement, metrics and test automation. Maintain operations of live service as issues arise on a rotational, on‑call basis. Verify whether data architecture meets security and compliance requirements and expectations. Should be able to fast learn and quickly adapt at rapid pace. java/scala, SQL,

Minimum Qualifications

• Bachelor's degree in computer science, computer engineering or a related field, or equivalent
• Experience 6+ years of progressive experience demonstrating strong architecture, programming and engineering skills
• Firm grasp of data structures, algorithms with fluency in programming languages like Java, Python, Scala. Strong SQL language and should be able to write complex queries
• Strong Airflow‑like orchestration tools. Demonstrated ability to lead, partner, and collaborate cross‑functionally across many engineering organizations
• Experience with streaming technologies such as Apache Spark, Kafka, Flink. Backend experience including Apache Cassandra, MongoDB and relational databases such as Oracle, PostgreSQL AWS/GCP
• Solid hands on with 4+ years of experience. Strong communication and soft skills. Knowledge and/or experience with containerized environments, Kubernetes, docker
• Experience in implementing and maintained highly scalable micro services in REST, Spring Boot, gRPC. Appetite for trying new things and building rapid POCs

Key Responsibilities

• Design, develop, and maintain scalable data pipelines to support data ingestion, processing, and storage
• Implement data integration solutions to consolidate data from multiple sources into a centralized data warehouse or data lake
• Collaborate with data scientists and analysts to understand data requirements and translate them into technical specifications
• Ensure data quality and integrity by implementing robust data validation and cleansing processes
• Optimize data pipelines for performance, scalability, and reliability
• Develop and maintain ETL (Extract, Transform, Load) processes using tools such as Apache Spark, Apache NiFi, or similar technologies
• Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal downtime
• Implement best practices for data management, security, and compliance
• Document data engineering processes, workflows, and technical specifications
• Stay up-to-date with industry trends and emerging technologies in data engineering and big data