India onlyJoin Granica's core engineering team to design and scale systems powering data workflows, automation, and analytics. Build backend APIs and scalable data pipelines using Python, PySpark, and modern data lakehouse/warehouse tech. Collaborate across teams and with customers to solve complex data challenges and design seamless integration solutions.
Requirements
- 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
Benefits
- Competitive salary
- Meaningful equity
- Substantial bonus for top performers
- Flexible time off
- Comprehensive health coverage for you and your family
- Support for research, publication, and deep technical exploration
United States only
