SDE III - Data Engineering

Glance is hiring a SDE III - Data Engineering in Bangalore.

Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment. Its proprietary models, seamlessly integrated with Google’s most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as f

Responsibilities

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.

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.

Feature Store & ML Enablement

Requirements

Experience

• 6–10 years of experience in Data Engineering, Distributed Systems, or Data Platform development.

• Strong experience owning large-scale production systems end-to-end.

Data Engineering Expertise: Strong hands-on experience with:

• Apache Spark

• Kafka

• Flink

• Airflow

• Distributed Data Processing

• Batch and Streaming Architectures

Data Modeling

• Strong understanding of dimensional modeling, data warehousing, and large-scale schema design.

• Experience managing complex datasets and evolving schemas.

Data Quality & Observability

Experience with:

• Data validation frameworks

Preferred qualifications

Commerce Domain Experience

Experience working with:

• Product catalogs

• Affiliate commerce platforms

• Merchant feeds

• Search and recommendation systems

Identity & Personalization

Experience with:

• Identity resolution

• Audience platforms

• Customer 360 systems

• User profiling and segmentation

Feature Stores & ML Platforms

Experience building:

• Feature stores

• Training data pipelines

About Glance

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