Data Engineer Intern

## About the Role We are looking for a motivated Data Engineer Intern to join our data platform team and work on real-world batch and streaming data systems. This role is designed for candidates with prior hands-on experience who want to deepen their skills in modern data engineering and large-scale data platforms. You will work closely with senior engineers on production pipelines and data platforms, gaining exposure to industry-grade tools, architectures, and engineering practices. ## Responsibilities - Build and maintain batch and streaming data pipelines - Develop data processing applications using Python (primary) and/or Java/Scala - Work with distributed processing frameworks such as Apache Spark, Flink, or Kafka Streams - Assist in designing and implementing ETL/ELT workflows - Contribute to data models for data warehouses and lakehouse architectures - Participate in code reviews, testing, and operational best practices - Support performance tuning and pipeline optimization efforts ## Required Qualifications - 1+ year of hands-on experience with: Batch processing (e.g., Apache Spark) and/or Stream processing (e.g., Apache Flink, Kafka Streams, Structured Streaming) - Strong programming skills in: - Python (preferred) - Java or Scala - Working knowledge of: - Distributed data processing concepts - SQL and basic data modeling - Ability to write clean, maintainable code - Strong learning mindset and problem-solving skills ## Good to Have - Knowledge of Apache Kafka - Understanding of Spark internals - Experience with data warehouses or lakehouse platforms - Exposure to cloud platforms (AWS, Azure, or GCP) ## Bonus / Stretch Skills - Kubernetes - Infrastructure as Code (Terraform, CloudFormation, etc.) - CI/CD for data or platform engineering ## About the Role Location: Bengaluru (In-Office) Duration: 3–6 months Start Date: Immediate / As Soon As Possible Compensation: Paid Internship