About the Role :

We are looking for a passionate Data Engineer to join our Mobile Advertising Platform engineering team. In this role, you will build highly scalable data platforms powering Mobile Programmatic Advertising, RTB bidding systems, attribution, campaign optimization, fraud detection, and real-time analytics. You will design and implement distributed systems capable of processing billions of mobile advertising events every day. You'll leverage modern Big Data technologies, cloud platforms, and Generative AI to build intelligent analytics and automation solutions.

What You'll Do :

- Design and build highly scalable data platforms capable of processing billions of mobile advertising events with low latency and high availability.

- Design and build ultra-low-latency, high-throughput data pipelines processing the full mobile event funnel using Kafka, Spark Streaming, Hadoop, and Snowflake on AWS.

- Architect real-time campaign pacing and budget delivery systems, applying bid optimization techniques.

- Design and optimize scalable ETL/ELT pipelines and data models supporting Mobile AdTech use cases.

- Design large-scale Invalid Traffic (IVT) and ad fraud detection systems using rules-based and ML-driven detection.

- Develop backend services (Java, REST APIs, JDBC) supporting DSP bidding logic, campaign management tools, and reporting APIs.

- Design and develop GenAI-powered agents for analytics, operations, and data enrichment using frameworks such as LangChain, LlamaIndex, or LangGraph.

Tech Stack & Requirements :

- 2 - 6 years of professional experience in Java backend development and data engineering.

- Strong computer science fundamentals including data structures, algorithms, distributed systems, and software design principles.

- Strong experience building distributed data pipelines using Spark, Kafka, Hadoop, Snowflake, SQL, and AWS.

- Experience processing high-volume streaming data using Spark Streaming or Kafka Streams.

- Experience with Mobile AdTech platforms (RTB, OpenRTB, DSP/SSP) is highly preferred.

- Experience building production-grade GenAI applications (LLM integration, LangChain, prompt engineering).

Qualification :

- Bachelor's degree in engineering or an equivalent degree from a well-known institute/university.