Platform Engineer - Snowflake & Databricks

ecolab

India

Sur place

INR 1 200 000 - 2 600 000

Plein temps

Il y a 3 jours
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Résumé du poste

ecolab is seeking a Platform Engineer to manage Snowflake and Databricks platforms with emphasis on security, governance, and automation. The role covers administration, access management, and production support across cloud-based data platforms in an enterprise setting.

You will collaborate with Data Engineering, Analytics, Security, and Infrastructure teams to enable scalable, reliable data platform solutions and support ETL/ELT pipelines and analytics workloads.

Qualifications

  • Bachelor's degree in CS/IT/Engineering or related field.
  • 3–5 years of experience in Platform Engineering or Data Platform administration.
  • Hands-on experience with Snowflake and Databricks environments.

Responsabilités

  • Administer Snowflake and Databricks platforms with high availability, security, and operations.
  • Manage user provisioning, RBAC, and access governance across platforms.
  • Administer Snowflake warehouses, databases, schemas, roles, and Databricks workspaces.
  • Monitor performance, resources, and costs; optimize where possible.
  • Troubleshoot incidents and perform root-cause analysis within SLAs.
  • Support data engineering pipelines (ETL/ELT) and analytics workloads.
  • Implement security, audit, and governance controls across platforms.
  • Develop automation using SQL, Python, APIs, and scripting.
  • Support CI/CD and deployment activities with Git/Azure DevOps.
  • Collaborate with cross-functional teams to deliver scalable data platforms.

Connaissances

Snowflake
Databricks
Unity Catalog
SQL
Python
RBAC & Access Governance
Git / Azure DevOps
Production Support

Formation

Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline

Outils

Azure
Terraform
CI/CD

Description du poste

Job Summary

We are looking for a Platform Engineer with hands-on experience in Snowflake and Databricks to support enterprise data platform operations. The candidate will be responsible for platform administration, security, governance, access management, automation, troubleshooting, and production support across cloud-based data platforms.

Key Responsibilities
  • Administer and support Snowflake and Databricks platforms, ensuring high availability, security, and operational excellence.
  • Manage user provisioning, RBAC, access governance, and permissions across Snowflake, Databricks, and integrated enterprise systems.
  • Administer Snowflake warehouses, databases, schemas, roles and Databricks workspaces, clusters, SQL Warehouses, Unity Catalog, jobs, and workflows.
  • Monitor platform performance, resource utilization, and costs, and proactively identify opportunities for optimization.
  • Troubleshoot and resolve platform-related incidents, perform root cause analysis, and ensure timely issue resolution within SLA commitments.
  • Support Data Engineering teams in deploying, maintaining, and troubleshooting ETL/ELT pipelines and analytics workloads.
  • Implement and maintain security, compliance, audit, and governance controls across enterprise data platforms.
  • Implement and support end-to-end Disaster Recovery on Databricks and Snowflake platform
  • Develop automation solutions using SQL, Python, APIs, and scripting to improve operational efficiency and reduce manual effort.
  • Support CI/CD, release management, and deployment activities using Git, Azure DevOps, and related tools.
  • Collaborate with Data Engineering, Analytics, Security, Infrastructure, and Business teams to deliver scalable, reliable, and secure data platform solutions
Required Technical Skills
  • Snowflake
  • Databricks
  • Unity Catalog
  • SQL
  • Python
  • RBAC & Access Governance
  • Git / Azure DevOps
  • Production Support
Good to Have
  • Azure
  • Spark
  • CI/CD
  • Terraform
Qualifications

Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline.

3-5 years of experience in Platform Engineering, Data Platform Administration, Data Engineering, or related fields.

Key Competencies
  • Strong problem-solving and analytical skills
  • Excellent communication and stakeholder management
  • Ability to work independently and take ownership
  • Strong collaboration and teamwork skills
  • Adaptability and continuous learning mindset
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