Software Engineer, Data Platform (Bengaluru)

Bengaluru Urban. Posted 22 days ago

The role

This person will build backend APIs and scalable data pipelines using Python and PySpark. They will work with data lakehouse and warehouse technology to design and scale systems powering data workflows, automation, and analytics.

What you will do

Build backend APIs and scalable data pipelines
Work with modern data lakehouse/warehouse tech
Orchestrate workflows and optimize big data frameworks
Manage infra as code and ensure reliability with monitoring/logging
Collaborate across teams and with customers to solve complex data challenges
Design seamless integration solutions
Drive best practices in scalability, reliability, and cost efficiency

Required qualifications

5+ years in software/data engineering or infrastructure roles
Strong Python skills
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 have

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)
backend APIs a plus

Benefits

Competitive salary
Meaningful equity
Performance bonus for top performers
401(k) with company match
Comprehensive health coverage
Unlimited PTO
Daily catered meals in our Mountain View office
Support for research, publication, and conference participation

About the company

Granica builds the next generation of enterprise AI, including exabyte-scale data infrastructure, Large Tabular Models (LTMs), and stateful AI agents.