SDE 2

InMobi (Corporate)

InMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd.

InMobi Advertising

InMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach — including flagship consumer platform Glance — InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. To learn more, visit advertising.inmobi.com.

Glance

Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV — shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.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.\

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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

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Required Skills

• 3–6 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)

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Good to Have

• Kafka / streaming systems experience

• DBT, Great Expectations, or similar tools

• Observability tools (Prometheus, Grafana)

• Metadata/catalog tools (OpenMetadata/DataHub)

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Success Metrics

• Delivers reliable, production-ready pipelines

• Improves performance and platform usability

• 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!