Role & responsibilities
- Build and maintain multi-cloud Databricks infrastructure using Terraform and Databricks functionality across mostly AWS, and GCP.
- Contribute to Unity Catalog administration including general best practices, metastores, workspaces, catalog, schema infrastructure and Databricks Asset Bundles.
- Act as a platform engineer, building self-service tools and 'golden paths' for other teams, and actively contribute to community enablement through documentation, training, and cross-team knowledge sharing.

Preferred candidate profile

Cloud & Infrastructure:
- 5 to 8 years of software engineering experience, ideally in infrastructure or data platform roles.
- Proficiency in Python/PySpark and strong knowledge of SQL.
- Experience with Terraform or similar Infrastructure-as-Code (IaC) tools.
- Strong knowledge of at least one cloud platform (GCP/AWS)
- Solid CI/CD experience.

Data & MLOps Expertise:
- Strong Background in Databricks, specifically Unity Catalog, medallion architecture,



and Databricks Asset Bundles (DABs).
- Proficiency in Python and API frameworks such as FastAPI or Flask.
- Strong experience designing, developing, and maintaining RESTful APIs.
- Valuable understanding of data engineering concepts such as data modeling and workflow orchestration.
- Experience with MLOps and Data Engineering like having worked on Spark/Delta Lake/MLflow/ETL frameworks (e.g., Fivetran, Lakeflow Connect).

Operational Excellence:
- Experience with Github workflows, including container versioning.
- Proficiency with incident management and observability tools (e.g., PagerDuty, system monitoring).

Mindset & Collaboration:
- An *AI as a partner* mindset.
- A collaborative approach, including asking questions, navigating unclear requirements, and actively contributing to knowledge sharing/community enablement.

📌 Immediate -SSE (Python +Databricks+Pyspark+ MLOps+SQL)-US Product Comp (Pune)
🏢 Seventh Contact Hiring Solutions
📍 Pune