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Software Engineer, Data Platform (Bengaluru)

Granica · Bangalore

Location
Bangalore
Employment
Full time
Level
Mid level
Posted
22 October

About this 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.

As published by Granica. Applications are handled on their site.

Skills this posting mentions

PySparkDatadogData Infrastructure

About Granica

Granica is an AI research and infrastructure company building reliable and steerable representations for enterprise structured data. The rarest thing in enterprise AI is durable access plus trust. Crunch is how we earn it: a policy-driven physical health layer that keeps large tabular data estates efficient and reliable, safely and reversibly. On top of that foundation, we’re building structured intelligence using Large Tabular Models: systems that learn cross-column and relational structure to deliver trustworthy answers and automation with provenance and governance built in.

All 15 openings at Granica

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Apply to Granica with a resume written for this role.

Queue Software Engineer, Data Platform (Bengaluru) and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Granica’s form for you.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

  2. 02I rank the openings

    Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

  3. 03Each one is written up

    Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

  • 25 sent a week, free
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Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

  2. 02I rank the openings

    Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

  3. 03Each one is written up

    Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

  • New matches ranked and written before you are up.
  • Every bullet stays inside what your history supports. Nothing invented.
  • Queued, submitted, interviewing, offer: one screen, not a spreadsheet.

500 free credits on sign-up. No card. Nothing is sent until you say so.

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