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 products. This is an excellent opportunity to work with cutting-edge distributed data technologies and solve real-world data challenges at scale in a fast-paced, collaborative environment. 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 enable scalable and reliable data processing - Build and maintain distributed data processing jobs using frameworks such as Apache Spark - Work with streaming and queue-based systems like Apache 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 engineers, and platform teams 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 - Hands-on experience with distributed computing systems such as Apache Spark - Strong knowledge of SQL and proficiency in at least one programming language such as Python, Java, or Scala - Good understanding of data structures, data models, and relational database concepts - Experience with relational databases such as PostgreSQL or MySQL - Familiarity with Git workflows in collaborative development environments - Experience working in an Agile development environment Why Join Us At Chargebee, you will be part of a forward-thinking data platform team that builds the infrastructure powering a globally growing SaaS product. You will gain exposure to large-scale data systems, cloud-based infrastructure, and modern open table formats while growing your career in a supportive, innovation-driven culture.

- 1 to 2 years of experience in data engineering or data processing pipelines - Strong proficiency in SQL - Programming skills in Python, Java, or Scala - Experience with Apache Spark or similar distributed computing frameworks - Knowledge of Apache Kafka or other streaming and queue-based systems - Experience with relational databases such as PostgreSQL or MySQL - Familiarity with Git and collaborative version control workflows - Understanding of data models, data structures, and relational database concepts - Experience working in Agile development environments - Good-to-have: Experience with AWS ecosystem - Good-to-have: Knowledge of open table formats such as Delta Lake, Apache Iceberg, or Apache Hudi - Good-to-have: Understanding of data warehouse and data lake architectures

- Opportunity to work on large-scale distributed data systems - Exposure to modern cloud-based data infrastructure on AWS - Collaborative and fast-paced work environment - Involvement in both internal analytics and customer-facing product development - Learning opportunities with streaming architectures and open table formats