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SDE III - Data Engineering

GlanceBangaloreGlance AI - Tech
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Salary
Not listed
Job type
Full-time
Posted
18 Jul 2026
Status
Open · checked 7d ago

About this role

The SDE III - Data Engineering role at Glance in Bengaluru is a senior, hands-on engineering position for building the intelligence backbone of an AI-powered commerce platform. This opportunity suits experienced engineers who thrive in designing large-scale data systems and collaborating across multidisciplinary teams.

Role Overview

Glance seeks a skilled and hands-on Data Engineer to own the design, development, and operation of large-scale data platforms and capabilities in Bengaluru. The professional will collaborate closely with Applied Scientists, ML Engineers, Product Managers, Analytics teams, and Platform Engineers to construct reliable data pipelines, feature stores, identity systems, catalog infrastructure, and self-service capabilities that accelerate machine learning development. Independent leadership of complex technical initiatives from design through production is expected, maintaining high standards of quality, scalability, and operational excellence.

Key Responsibilities

Design and build scalable batch and real-time data pipelines utilizing Spark, Flink, Kafka, and Airflow to support analytics, experimentation, recommendations, and AI applications.
Develop systems for user identity resolution, cross-surface signal aggregation across Mobile, TV, OEM, and Commerce ecosystems, and audience segmentation.
Build ingestion and enrichment pipelines, scalable schemas, and taxonomy frameworks for affiliate feeds, merchant catalogs, and product metadata.
Create reusable feature generation frameworks and low-latency feature pipelines serving training and online inference workloads in partnership with Applied Scientists.
Develop internal AI-powered tools, agents, and self-service platforms for pipeline debugging, data quality triage, SQL generation, and metadata discovery.
Own production services and pipelines with strong SLAs, building observability through monitoring, lineage, alerting, reconciliation, and quality checks.
Lead architecture and design discussions, drive engineering best practices, and mentor junior engineers.

Requirements

Six to ten years of professional experience in Data Engineering, Distributed Systems, or Data Platform development with a track record of owning large-scale production systems end-to-end.
Hands-on expertise in Apache Spark, Kafka, Flink, Airflow, distributed data processing, and batch/streaming architectures.
Strong understanding of dimensional modeling, data warehousing, large-scale schema design, and managing complex datasets.
Experience with data validation frameworks, lineage systems, monitoring, reconciliation pipelines, and CI/CD for data systems.
Cloud and platform engineering background including GCP, Databricks, BigQuery, Infrastructure as Code, and cost optimization.
Strong programming skills in Python, alongside Scala or Java, with deep proficiency in SQL, system design, and reliability engineering.

Nice to Have

Experience with product catalogs, affiliate commerce platforms, merchant feeds, and search and recommendation systems.
Background in identity resolution, audience platforms, Customer 360 systems, and user profiling.
Experience building feature stores, training data pipelines, real-time inference data systems, and MLOps infrastructure.
Exposure to LLM-powered developer tools, agents, copilots, metadata intelligence systems, and automated debugging workflows.

Skills and Tools

Python
SQL
GCP
Java
Scala
Spark
LLM
MLOps
Kafka
Airflow
Flink
Databricks
BigQuery

About the Company

Glance operates as an intelligent shopping agent, redefining the commerce experience through proprietary agentic intelligence and generative AI to deliver a hyper-personalized consumer experience across mobile and TV. Operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, Glance is backed by Mithril Capital, Google, and Jio Platforms.

How to Apply

To apply for this position, please visit the official company careers page and submit your application through their online portal.

Skills and tech stack

PythonSQLGCPJavaScalaSparkLLMMLOpsKafkaAirflow

Questions candidates ask

What is the primary focus of the SDE III - Data Engineering role at Glance?

The role focuses on designing, developing, and operating large-scale data platforms, foundational data systems, feature stores, and real-time pipelines that power Glance's generative AI commerce platform.

What technologies and tools are required for this position?

Candidates must have hands-on experience with Python, SQL, GCP, Java or Scala, Apache Spark, Kafka, Flink, and Airflow, along with distributed data processing and cloud platform engineering.

Is this a people-management position?

No, this is a senior, hands-on engineering role focused on technical design, system ownership, and engineering excellence rather than managing direct reports.

Where is the job located?

The position is based in Bengaluru, India.

What experience level is required to apply?

Applicants should possess between six to ten years of experience in Data Engineering, Distributed Systems, or Data Platform development.

Ready to apply?

The application is on the official Glance careers page.

Apply on company site