Platform Engineer

Job Title: Platform Engineer – Python / Airflow / Databricks / AWS

Experience: 5–7 Years

Location: Pune (Work from Office)

Shift Timing: 12:00 PM to 9:00 PM IST

Contract Duration: 6 Months

Role Overvie

wWe are seeking skilled Platform Engineers with hands-on experience in Python, Apache Airflow/Astronomer Astro, Databricks, and AWS cloud technologies. The candidate will be responsible for supporting, automating, and maintaining cloud-based platform engineering and data solutions

.The role requires strong technical capabilities, troubleshooting skills, and collaboration with engineering teams and client stakeholders

.
Key Responsibiliti

• esDesign, develop, automate, and support platform engineering solutions using Pyth
• onDevelop and maintain Apache Airflow DAGs within Astronomer Astro environmen
• tsSupport and administer Databricks environments including Workspaces Clusters Jobs Notebooks Unity Catal
• ogManage AWS cloud services including: IAM EKS S3 Lambda Secrets Manager CloudWatch Networki
• ngImplement Infrastructure as Code using Terrafo
• rmSupport CI/CD automation and deployment processes using Harness and GitO
• psTroubleshoot platform, cloud infrastructure, and integration-related issu
• esEnsure platform security, governance, and operational best practic
• esCollaborate with architects, engineering teams, and client stakeholde
• rsContribute to monitoring, documentation, and platform improvemen

ts
Required Skills & Experie

• nce5–7 years of overall IT experie
• nceStrong hands-on experience in Python development and automat
• ionExperience with Apache Airflow and/or Astronomer As
• troHands-on experience with Databricks administration and integrati
• onsStrong AWS cloud knowledge including IAM, EKS, S3, Lambda, Secrets Manager, and CloudWa
• tchExperience with Terraform and Infrastructure as Code conce
• ptsExposure to CI/CD tools and deployment automation practi
• cesFamiliarity with Harness and GitOps methodolog
• iesGood understanding of cloud security and governa
• nceStrong analytical and troubleshooting ski
• llsGood communication and collaboration ski
• llsExperience working in collaborative delivery environme

nts
Preferred Qualificat

• ionsExperience supporting cloud data platf
• ormsExposure to Kubernetes and containerized deploym
• entsKnowledge of observability and monitoring t
• oolsUnderstanding of DevOps and Platform Engineering conc
• eptsAWS or Databricks certifications are an added advan