The Data Engineer will be responsible for building and maintaining data pipelines, handling large-scale event data, and enabling analytics for user behavior, content performance, and platform insights.

Must Have Skills :

- Bachelor's degree in Computer Science, Engineering, or a related field

- 5+ years of experience in Data Engineering or related roles

- Strong experience with Apache Spark (Scala or Python) and Spark SQL

- Experience building ETL pipelines using AWS services such as Glue and EMR

- Hands-on experience with event streaming systems like Kafka or AWS Kinesis

- Proficiency in SQL and experience working with large-scale datasets

- Experience with AWS ecosystem (S3, Redshift, Athena)

- Good understanding of data modeling and data warehouse concepts

- Internet B2C product experience

Good to Have :

- Experience working with consumer-facing applications (OTT / media platforms preferred)

- Exposure to real-time analytics and event-driven architectures

- Familiarity with data visualization tools like AWS QuickSight (or similar)

- Understanding of user behavior analytics (engagement, retention, etc.)