Software Engineer- Data Platform(India-Remote)
Department: Engineering
Location: India
Employment Type: FullTime
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 substantial bonus for top performers
Flexible time off plus comprehensive health coverage for you and your family
Support for research, publication, and deep technical exploration
At Granica, you will shape the fundamental infrastructure that makes intelligence itself efficient, structured, and enduring. Join us to build the foundational data systems that power the future of enterprise AI!
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