Data Engineer-Mobile Monetization

What you'll do

• Design and build highly scalable data platforms processing billions of mobile advertising events with low latency and high availability
• Build ultra-low-latency, high-throughput data pipelines for mobile event funnel including OpenRTB bid request/response logging, auction analytics, and reporting
• Architect real-time campaign pacing and budget delivery systems with bid optimization techniques
• 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
• Develop backend services supporting DSP bidding logic, campaign management, and reporting APIs
• Design and develop GenAI-powered agents for analytics, operations, and data enrichment
• Ensure systems are highly available, fault tolerant, and optimized for low latency and high throughput
• Collaborate with cross-functional teams to improve platform scalability, reliability, performance, and customer experience
• Work with Product Managers to define and implement new analytics capabilities and platform features
• Participate in Agile/Scrum ceremonies including sprint planning, backlog grooming, estimation, retrospectives, and release planning
• Perform architecture discussions, design reviews, and peer code reviews promoting software engineering best practices

Requirements

• 1–5+ 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
• Hands-on experience developing scalable backend services using Java, REST APIs, JDBC, and relational databases
• Strong experience building distributed data pipelines using Spark, Kafka, Hadoop, Snowflake, SQL, and AWS
• Experience designing and optimizing large-scale analytical data platforms for Mobile AdTech using Java, Spark, Kafka, Snowflake, SQL, and AWS
• Strong understanding of real-time event processing, distributed data systems, and data warehouse architectures
• Familiarity with distributed query engines and modern data lake technologies
• Experience processing high-volume streaming data using Spark Streaming, Kafka Streams, or similar technologies
• Good understanding of data warehousing, dimensional modeling, ETL/ELT design, and distributed computing concepts
• Experience working with Mobile AdTech platforms or digital advertising ecosystems
• Knowledge of Real-Time Bidding (RTB), OpenRTB protocol, and Mobile DSP/SSP/Ad Exchange architecture
• Familiarity with mobile SDK event tracking and Mobile Measurement Partner (MMP) integrations
• Understanding of attribution methodologies
• Knowledge of mobile identity solutions and privacy landscape
• Experience with campaign pacing, bid optimization, and budget delivery algorithms
• Background in ad fraud/IVT detection
• Experience building production-grade GenAI applications and LLM integration
• Experience with LangChain, LlamaIndex, LangGraph or similar orchestration frameworks
• Prompt engineering and optimization
• AI evaluation and observability
• AI agents and workflow automation
• Strong SQL optimization and query performance tuning skills
• Experience with CI/CD pipelines, Docker, Kubernetes, and cloud-native application development
• Experience with monitoring and observability tools such as Grafana, Prometheus, Datadog, or AWS
• Strong debugging and troubleshooting skills in distributed environments
• Ability to learn new technologies quickly and independently
• Excellent verbal and written communication skills
• Strong interpersonal skills for cross-team collaboration
• Bachelor’s degree in engineering or equivalent from a well-known institute/university

Tech stack

Benefits