Senior Platform Engineer – Python / Airflow / Databricks / AWS
$150,000–$180,000 year
On-sitePune, Maharashtra, India
Job Summary
Design and support enterprise-scale cloud platform and data engineering solutions using Python, Apache Airflow, Databricks, and AWS. Manage Databricks workspaces, clusters, jobs, and Unity Catalog while administering IAM, EKS, S3, Lambda, Secrets Manager, CloudWatch, and networking on AWS. Develop and troubleshoot DAGs with Astronomer Astro, implement Terraform for infrastructure as code, and maintain CI/CD pipelines using Harness and GitOps methodologies. Address complex infrastructure and platform issues with a focus on cloud security, governance, and IAM policies. This six-month contract includes a mandatory five-day office shift from 12:00 PM to 9:00 PM IST in Pune, with a budget of ₹19 LPA.
Required Qualifications
- Strong hands-on experience in Python for automation & platform engineering
- Expertise in Apache Airflow / Astronomer Astro (DAG development & troubleshooting)
- Strong Databricks administration (Workspaces, Clusters, Jobs, Notebooks, Unity Catalog)
- Strong AWS experience (IAM, EKS, S3, Lambda, Secrets Manager, CloudWatch, Networking)
- Hands-on experience in Terraform & Infrastructure as Code (IaC)
- Experience in CI/CD pipelines, Harness & GitOps methodologies
- Strong understanding of cloud security, governance, and IAM policies
- Experience in troubleshooting complex infrastructure and platform issues
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