Data Engineer

Role Overview Chargebee is looking for a skilled Data Engineer to join its Data Platform team in Chennai. You will be responsible for building and maintaining scalable data pipelines that power internal analytics, business intelligence, and customer-facing data features. This is a full-time, on-site role in a fast-paced and collaborative environment where you will solve real-world data challenges at scale. Key Responsibilities - Design, build, and maintain data ingestion and processing pipelines across multiple layers of the data platform - Develop and optimize ETL and ELT workflows to support scalable and reliable data processing - Build and maintain distributed data processing jobs using Apache Spark - Work with streaming and queue-based systems such as Kafka to handle event-driven data - Design efficient data models and transformations to support analytics and product use cases - Ensure high standards of data reliability, integrity, and performance across the platform - Troubleshoot and debug production data pipelines and distributed systems - Collaborate with data analysts, product teams, and engineers to meet evolving data requirements - Participate in code reviews, design discussions, and agile development processes - Document data pipelines, architecture decisions, and platform workflows Required Qualifications - Bachelor's degree in Computer Science, Mathematics, Engineering, or a related technical field or equivalent practical experience - 1 to 2 years of experience working with data processing workflows and pipelines - Experience working on production systems including troubleshooting and debugging - Hands-on experience with distributed computing systems such as Apache Spark - Experience using Git workflows in collaborative development environments - Strong knowledge of SQL and relational database concepts - Proficiency in at least one programming language such as Java, Python, or Scala - Experience with relational databases such as PostgreSQL or MySQL - Experience working in an Agile development environment Why Join Us At Chargebee, you will gain exposure to large-scale data infrastructure, streaming architectures, cloud-based data systems, and modern data lake and warehouse technologies. This is an excellent opportunity to grow your career by working on impactful data systems used by a globally recognised SaaS company.

- 1-2 years of experience in data engineering or data pipeline development - Strong SQL skills and knowledge of relational databases - Proficiency in Java, Python, or Scala - Experience with Apache Spark or similar distributed computing frameworks - Familiarity with Kafka or other event-driven streaming systems - Experience with Git and collaborative development workflows - Understanding of ETL and ELT pipeline design - Knowledge of data models and data structures - Experience with PostgreSQL, MySQL, or similar relational databases - Familiarity with AWS ecosystem is a plus - Knowledge of open table formats such as Delta Lake, Iceberg, or Hudi is a plus

- Opportunity to work on large-scale distributed data systems - Exposure to modern cloud-based data infrastructure - Collaborative and fast-paced work environment - Involvement in agile development processes - On-site role at a globally recognised SaaS company