Senior/Software Engineer - Mobile App Monetization (Data Analytics) at PubMatic | AdTechTalent
Engineering3 months agoHybrid
PubMatic
Senior/Software Engineer - Mobile App Monetization (Data Analytics)
data engineerjavasparkkafkahadoopsnowflakeawssqlmobile adtechrtbopenrtbgenailangchainllamaindexdata pipelinesetlstreamingfraud detectioncampaign optimizationreal-time analyticsdockerkubernetesmonitoringprometheusgrafanadatadogdistributed systems
Key details
Salary
Not specified
Employment type
Full-time
Seniority
Mid-level
Years experience
1-5
Location
Pune, India
Full job description
Seeking a Data Engineer to join Mobile Advertising Platform engineering team. Responsibilities include designing and building scalable data platforms and ultra-low-latency data pipelines processing billions of mobile advertising events daily using Kafka, Spark Streaming, Hadoop, Snowflake on AWS. Architect real-time campaign pacing, budget delivery, and fraud detection systems. Develop backend services in Java with REST APIs and JDBC. Build GenAI-powered analytics and automation agents using LangChain, LlamaIndex, or similar. Collaborate with cross-functional teams and participate in Agile processes. Requirements: 1-5+ years in Java backend and data engineering, strong CS fundamentals, experience with distributed data pipelines and Mobile AdTech platforms, knowledge of RTB, OpenRTB, DSP/SSP architectures, mobile SDK tracking, attribution, identity solutions, and ad fraud detection. Experience with GenAI applications and orchestration frameworks. Preferred skills include SQL optimization, CI/CD, Docker, Kubernetes, monitoring tools, and strong communication. Bachelor's degree in engineering or equivalent required. Hybrid work schedule with 3 days in office and 2 remote. Benefits include parental leave, healthcare, broadband reimbursement, snacks, and catered lunches.
What you'll do
Similar jobs
More roles worth a look
Related opportunities based on specialty and working model so candidates can keep momentum.
Design and build highly scalable data platforms processing billions of mobile advertising events with low latency and high availability
Design and build ultra-low-latency, high-throughput data pipelines for mobile event funnel including OpenRTB bid request/response logging and auction analytics
Architect real-time campaign pacing and budget delivery systems with bid optimization techniques
Architect and implement real-time streaming pipelines to ingest, process, and analyze billions of advertising events
Design and optimize scalable ETL/ELT pipelines and data models for Mobile AdTech use cases
Design large-scale Invalid Traffic (IVT) and ad fraud detection systems using rules-based and ML-driven detection