SDE 2

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 décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi’s 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 Company’s 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, you’ll 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

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Build and maintain scalable data pipelines (batch & streaming) using Spark/Flink

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Develop integrations across Airflow, Iceberg, and cloud platforms

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Apply best practices in data modeling, partitioning, and query optimization

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Support Kubernetes-based data platform workloads and troubleshoot issues

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Optimize pipelines for performance, cost, and reliability

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Implement monitoring, logging, and data quality checks

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Participate in on-call and incident resolution

Required Skills

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3–6 years in data/platform engineering

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Strong fundamentals: SQL, data modeling, partitioning, optimization

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Hands-on with Spark (PySpark/Scala); exposure to Flink is a plus

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Experience with Airflow (or similar orchestration tools)

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Familiarity with data lake formats (Iceberg/Delta/Hudi)

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Working knowledge of Kubernetes & cloud (GCP/AWS/Azure)

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Programming: Python (must-have), Scala (good-to-have)

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Exposure to CI/CD, Git, and IaC (Terraform/Helm basics)

Good to Have

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Kafka / streaming systems experience

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DBT, Great Expectations, or similar tools

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Observability tools (Prometheus, Grafana)

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Metadata/catalog tools (OpenMetadata/DataHub)

Success Metrics

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Delivers reliable, production-ready pipelines

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Improves performance and platform usability

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Strong ownership, debugging, and collaboration skills

                               

The InMobi Culture

At InMobi, culture isn’t 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 — thinking big, being passionate, showing accountability, and taking ownership with freedom — 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!

Department: Mohit Saxena(Engineering and Data Sciences)