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Software Engineer, Data Platform (Bengaluru)

Granica

Responsibilities

  • 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.

Requirements

  • 5+ years in software/data engineering or infrastructure roles
  • Proven ability to build scalable data pipelines from scratch
  • Skilled in designing scalable, reliable, cost-efficient systems
  • Thrives in fast-paced startup environments
  • Excellent problem-solving, communication, and customer-facing skills

Preferred

  • 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).

What We're Looking For-

Strong Python skills (backend APIs a plus)

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)
  • Experience with large-scale distributed data architectures

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