Software Development Engineer II - Data Engineering
Data engineer on JioStar's JioAds platform, designing and running petabyte-scale batch and streaming data pipelines for ads reporting, attribution, and analytics. Core stack: Spark, Hive, SQL, Scala (or Java/Python), and Kafka.
- Compensation
- Not disclosed
- Location
- Bengaluru, India
- Work setup
- Onsite
- Seniority
- Middle
- Employment
- Full time
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- 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
- 2–4 years of experience in backend development
Nice to have
- 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
Full description
Job Title: Software Development Engineer II
Department, Level: JioAds, X21
Location: Onsite, Bangalore
Work Type: Full time
Job Summary:As a Software Development Engineer II, you will lead the design and development of core systems that drive JioStar’s advertising capabilities - from ad delivery and targeting to measurement and optimization. You’ll own large-scale projects end to end, operate with autonomy, and play a key role in shaping the architecture and future direction of our high-throughput, low-latency systems. This role is ideal for engineers who thrive on solving hard distributed systems problems and mentoring others toward engineering excellence.
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.
Reporting To: Engineering Manager
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/Masters in Computer Science or a related field with 2–4 years of experience in backend development