Senior Software Development Engineer - Data Engineering (Adtech)

Jio Star; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Jio Star is seeking a Senior Software Development Engineer in Data Engineering to design and maintain high-performance services for ad delivery and analytics. The role focuses on managing petabyte-scale datasets and optimizing data workflows using technologies like Scala, Spark, and Kafka.

The ideal candidate will have a background in backend development, an understanding of big data ecosystems, and is passionate about building scalable solutions that impact user experiences.

Qualifications

• Strong programming experience in Scala (preferred), Java, or Python.
• Hands-on experience with Apache Spark for large-scale data processing.
• Proficiency in Hive, SQL, and data modeling for analytical workloads.

Responsibilities

• Design, develop, and maintain large-scale data pipelines.
• Optimize data workflows for performance and scalability.
• Partner with data scientists and product managers to deliver reliable datasets.

Skills

Scala

Apache Spark

SQL

Kafka

Java

Python

Data modeling

Big Data ecosystems

Data governance

Education

Bachelor's or master's in computer science or related field

Tools

Hive

AWS EMR

GCP BigQuery

Databricks

AirFlow

Job description

## Senior Software Development Engineer - Data Engineering (Adtech)Applylocations: Bengaluruposted on: Posted 5 Days Agojob requisition id: JR10337**Job Summary:**As an SSDE, you will design and build high-performance services that power mission-critical ad delivery, targeting, and measurement systems across JioStar's platform. You will operate at the intersection of scale, reliability, and real-time decisioning - supporting live sports, premium entertainment, and personalized experiences for millions of users. This is a high-ownership, high-impact role best suited for engineers passionate about building for scale and business impact. **About the Team:**JioStar’s Ad Platform is among the top video advertising platforms in India - and we’re aiming higher. With deep expertise across Video-On-Demand, Live Sports, and Ad Monetization, our vision is to build the most effective and scalable adtech ecosystem in the world. Our engineering team builds across the full adtech stack - from high-throughput backend services to deeply integrated, high-impact ad experiences on client platforms. Name a technology, and chances are we’ve worked with it. But more than the tools, it’s the problems we solve that make the work exciting. If you’re excited about building fast, learning continuously, and working on a product that sits at the center of content, monetization, and user experience, we’d love to talk. **Key responsibilities:*** Design, develop, and maintain large-scale data pipelines to support Ads reporting, attribution, and analytics use cases* Work extensively with Hive, Spark, SQL, Scala, and Kafka to process and manage petabyte-scale datasets* Optimize data workflows for performance, scalability, and cost efficiency* Partner with data scientists, product managers, and platform engineers to deliver high-quality, reliable datasets and APIs* Ensure data quality, integrity, and consistency across multiple data sources* Troubleshoot and resolve issues in real-time streaming pipelines and batch data jobs* Continuously evaluate new technologies to enhance the Ads Data platform**Skills and attributes for success:*** Strong programming experience in Scala (preferred), Java, or Python* Hands-on experience with Apache Spark (batch & streaming) for large-scale data processing* Proficiency in Hive, SQL, and data modeling for analytical workloads* Experience working with Kafka for real-time event streaming* Solid understanding of Big Data ecosystems (S4, Hive, Presto, Delta etc.)* Strong debugging, performance tuning, and problem-solving skills* Bachelor’s or master’s degree in computer science, Engineering, or related field. Experience in AdTech, Attribution, or Campaign Analytics* Familiarity with cloud-based big data solutions (AWS EMR, GCP BigQuery, Databricks, etc.)* Familiarity with scheduling services like AirFlow* Knowledge of data governance, security, and compliance best practices**Preferred education and experience:*** Bachelors/master's in computer science or a related field with 4-6 years of experience in backend development.