01Overview
Position: Software Engineer Python / Databricks
Experience: 3 10 Years
Qualification: Bachelor's / Master's Degree in Computer Science, Engineering, or a related field
Work mode: Remote Key Responsibilities Databricks & Cloud Infrastructure Build and maintain multi-cloud Databricks infrastructure using Terraform, primarily across AWS and GCP. Support Unity Catalog administration, including metastores, workspaces, catalogs and schemas. Implement and maintain Databricks Asset Bundles (DABs). Develop deployment accelerators, templates and self-service tools for Databricks onboarding. Build scalable and reusable platform engineering solutions and golden paths. Software & API Development Develop and maintain solutions using Python/PySpark and SQL. Design, develop and maintain RESTful APIs using frameworks such as FastAPI or Flask. Build automation and self-service tools to improve developer and data-team productivity. Contribute to data platform and infrastructure automation. Data Engineering & MLOps Work with Spark, Delta Lake and MLflow. Support ETL/data engineering workflows and data pipeline development. Apply knowledge of data modeling and workflow orchestration. Contribute to MLOps and Data Engineering initiatives. Work with tools/frameworks such as Fivetran and Lakeflow Connect. CI/CD & Operations Implement and maintain CI/CD pipelines and GitHub workflows. Support container versioning and deployment processes. Participate in incident management, monitoring and troubleshooting. Work with observability and incident-management tools such as PagerDuty. Contribute to platform documentation, training and cross-team knowledge sharing.
Preferred Experience Experience working in infrastructure, platform engineering or data platform roles. Strong understanding of Databricks Medallion Architecture. Experience building self-service platforms, deployment templates and automation tools. Experience working in multi-cloud environments. Strong communication and collaboration skills with the ability to support and enable other engineering teams. .
