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Glance

SDE III - Data Engineering

Bangalore; BangaloreIndia
Senior · Glance AI - Tech
POSTED 27 JUL
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Role
110 days opentrue age
Posted 27 Jul
Pay
₹25.1L–₹47.3Lno pay posted
Market p25–p75
₹25.1L–₹47.3L
India · n=3 · 365d to 10 Nov
CompanyGlance →
35open roles
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Closed · 30d
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1,208open · Senior Data engineering
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All tracked boards · live 15 Nov · n=1,208
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1H-1B LCAs · FY25
LCAs FY25 · n=1 · to 2025-05-08
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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.

InMobi

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.

SDE-3 – Data Engineering and Capabilities Team

About the Team

At Glance, we are building a first-of-its-kind generative AI-powered commerce platform that transforms how users discover and shop across mobile surfaces, TV, and brand stores.

The Data Engineering & Capabilities Team is responsible for building the intelligence backbone that powers personalization, recommendations, multimodal search, experimentation, analytics, and AI-driven commerce experiences. We bring together data from affiliate feeds, OEM integrations, commerce catalogs, user interactions, and transaction systems to create trusted, scalable, and ML-ready data products.

As an SDE-3 Data Engineer, you will play a key role in building and scaling the foundational data systems that power Glance's next generation of AI products.

Role Overview

We are looking for a highly skilled and hands-on Data Engineer to own the design, development, and operation of large-scale data platforms and capabilities.

You will work closely with Applied Scientists, ML Engineers, Product Managers, Analytics teams, and Platform Engineers to build reliable data pipelines, feature stores, identity systems, catalog infrastructure, and self-service capabilities that accelerate experimentation and machine learning development.

You will be expected to independently drive complex technical initiatives from design through production while maintaining high standards of quality, scalability, and operational excellence.

Key Responsibilities

Data Platform Development

  • Design and build scalable batch and real-time data pipelines using Spark, Flink, Kafka, and Airflow.
  • Develop data products that support analytics, experimentation, recommendation systems, personalization, and AI applications.
  • Build and maintain highly reliable ETL/ELT frameworks processing billions of events and catalog updates.

User Data Platform

  • Develop systems for user identity resolution and cross-surface signal aggregation across Mobile, TV, OEM, and Commerce ecosystems.
  • Build datasets and services that support user profiling, audience creation, segmentation, and personalization.
  • Contribute to deterministic and probabilistic identity stitching frameworks.

Commerce Catalog Platform

  • Build ingestion and enrichment pipelines for affiliate feeds, merchant catalogs, D2C integrations, and product metadata.
  • Design scalable schemas and taxonomy frameworks for large and evolving commerce catalogs.
  • Develop catalog quality, deduplication, normalization, and enrichment systems.
Source · GlanceFirst seen 2 NovOriginal ↗