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Glance

SDE III - Data Engineering

Glance · Bangalore

Posted about 3 months ago

or apply directly on Glance's site. We never take the application ourselves.

Is this posting real?

This role has been open
79 days
Glance's roles stay open a median of 80 days
Reposted
No
Salary listed
No
12% of Glance's roles list one
Ghost-job risk at Glance
high
48 stale, 1 reposted of 49 open
Hiring momentum
58 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Glance's own greenhouse board since 2026-08-03. Full hiring picture for Glance.

About this role

As an SDE-3 Data Engineer at Glance, you will be responsible for designing, developing, and operating large-scale data platforms that support AI-driven commerce experiences. Your role involves building reliable data pipelines, feature stores, and user identity systems while collaborating with various teams to enhance data quality and operational excellence. You will also lead technical initiatives and mentor junior engineers, ensuring high standards in data engineering practices.

Our read on this posting2.4out of 5
benefits
1/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Glance as an employer.

What you need

  • 6–10 years of experience in Data Engineering, Distributed Systems, or Data Platform development
  • Strong experience owning large-scale production systems end-to-end
  • Strong hands-on experience with Apache Spark, Kafka, Flink, and Airflow
  • Experience with batch and streaming architectures
  • Strong understanding of dimensional modeling, data warehousing, and large-scale schema design
  • Experience managing complex datasets and evolving schemas

Nice to have

  • Experience working with product catalogs, affiliate commerce platforms, and merchant feeds
  • Experience with identity resolution, audience platforms, and customer 360 systems
  • Experience building feature stores and training data pipelines
  • Exposure to LLM-powered developer tools and automated debugging workflows

Worth weighing

  • No salary listed
  • Role emphasizes hands-on engineering rather than pure ETL or operations
  • Expectations for technical leadership and ownership of critical systems
  • Focus on building and scaling data infrastructure rather than just implementation

Summarised from Glance's posting. Read the full original.

Listed by Glance on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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