InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home dĂ©cor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobiâs global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide. Recognized as a Great Place to Work, and by MIT Technology Review, Fast Companyâs Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond. At InMobi Advertising, youâll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com
SDE II - Data Platform - Lucknow Mission Contribute to building a self-serve Data Platform-as-a-Product enabling scalable, reliable, and easy-to-use data infrastructure across batch and streaming workloads.\
Core Responsibilities
Build and maintain scalable data pipelines (batch & streaming) using Spark/Flink
Develop integrations across Airflow, Iceberg, and cloud platforms
Apply best practices in data modeling, partitioning, and query optimization
Support Kubernetes-based data platform workloads and troubleshoot issues
Optimize pipelines for performance, cost, and reliability
Implement monitoring, logging, and data quality checks
Participate in on-call and incident resolution
Required Skills
3â6 years in data/platform engineering
Strong fundamentals: SQL, data modeling, partitioning, optimization
Hands-on with Spark (PySpark/Scala); exposure to Flink is a plus
Experience with Airflow (or similar orchestration tools)
Familiarity with data lake formats (Iceberg/Delta/Hudi)
Working knowledge of Kubernetes & cloud (GCP/AWS/Azure)
Programming: Python (must-have), Scala (good-to-have)
Exposure to CI/CD, Git, and IaC (Terraform/Helm basics)
Good to Have
Kafka / streaming systems experience
DBT, Great Expectations, or similar tools
Observability tools (Prometheus, Grafana)
Metadata/catalog tools (OpenMetadata/DataHub)
Success Metrics
Delivers reliable, production-ready pipelines
Improves performance and platform usability
Strong ownership, debugging, and collaboration skills
The InMobi Culture At InMobi, culture isnât a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences. We thrive on challenges and seize every opportunity for growth. Our core values â thinking big, being passionate, showing accountability, and taking ownership with freedom â guide us in every decision we make. We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace. Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!