About the Role

We're hiring a Senior Data Engineer to build scalable, high-performance data platforms powering large-scale advertising and analytics systems. You'll work on distributed data processing, large-scale ETL pipelines, and cloud-native data infrastructure while collaborating with engineering teams to deliver production-grade solutions.

This role is ideal for engineers who have hands-on experience with Apache Spark, Scala, distributed data systems, and cloud platforms.

Key Responsibilities
Design and develop scalable ETL pipelines.
Build distributed data processing applications using Apache Spark and Scala.
Develop reliable batch and streaming data pipelines.
Optimize existing data workflows for performance and scalability.
Work with large datasets ensuring data quality and reliability.




Deploy and maintain cloud-based data workloads.
Collaborate with engineering, analytics, and product teams.
Troubleshoot production issues and improve platform stability.

Must Have Skills
5+ years of Data Engineering experience.
Solid hands-on Apache Spark experience.
Solid Scala programming.
Experience building ETL pipelines.
Excellent SQL skills.
Experience with distributed data processing.
Google Cloud Storage (GCS).
Kubernetes (K8s).

Positive to Have
Kafka
Apache Airflow
AWS
Large-scale data platforms
AdTech experience

Pay: ₹5,000,000.00 - ₹6,000,000.00 per year

Work Location: In person

📌 Senior Data Engineer Bengaluru
🏢 Rani
📍 Bengaluru