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Granica

Software Engineer, Data Platform (Bengaluru)

  • Seen live on Granica's site today
  • Mid level
Pay
Not stated
Location
Bengaluru Urban
Open for
12+ days
First seen
Oct 23, 2026
Apply on Granica's site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Granica's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Granica, so its true age is longer.

Last checked Nov 4, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

Join Granica’s core engineering team to design and scale systems powering data workflows, automation, and analytics. This is a deep engineering role—not feature delivery.

What You’ll Do-

  • Build backend APIs and scalable data pipelines (Python, PySpark).
  • Work with modern data lakehouse/warehouse tech (Iceberg, Delta Lake, Snowflake, Databricks).
  • Orchestrate workflows (Airflow) and optimize big data frameworks.
  • Manage infra as code (Terraform) and ensure reliability with monitoring/logging.
  • Collaborate across teams and with customers to solve complex data challenges and design seamless integration solutions.
  • Drive best practices in scalability, reliability, and cost efficiency.

What We're Looking For-

  • 5+ years in software/data engineering or infrastructure roles
  • Strong Python skills (backend APIs a plus)
  • Proven ability to build scalable data pipelines from scratch
  • Hands-on with Apache Iceberg/Delta Lake + Snowflake/Databricks
  • Workflow orchestration expertise (Airflow, Luigi, etc.)
  • Big data frameworks experience (Spark, Hadoop)
  • Familiar with monitoring/analytics tools (Prometheus, Grafana, ELK, Datadog)
  • Skilled in designing scalable, reliable, cost-efficient systems
  • Experience with large-scale distributed data architectures
  • Thrives in fast-paced startup environments
  • Excellent problem-solving, communication, and customer-facing skills

Nice-to-Haves

  • Hands-on experience with Terraform or other infrastructure-as-code tools.
  • Familiarity with security and privacy best practices in data processing pipelines.
  • Exposure to cloud platforms (AWS, GCP, Azure) and containerisation (Docker, Kubernetes).

Compensation & Benefits

  • Competitive salary, meaningful equity, and performance bonus for top performers
  • 401(k) with company match, comprehensive health coverage, and unlimited PTO
  • Daily catered meals in our Mountain View office
  • Support for research, publication, and conference participation

At Granica, you'll help build the next generation of enterprise AI —from exabyte-scale data infrastructure , Large Tabular Models (LTMs) , and stateful AI agents . Together, we're creating the infrastructure that enables enterprises to own their data , own the intelligence built on it , and scale both efficiently .

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