Description

You will own data migration and platform engineering across Azure, AWS, and GCP, delivering development, testing, and support for distributed systems.

This role is hybrid.

Responsibilities

• Migrate and manage data pipelines using Databricks and Snowflake.
• Build and maintain CI-CD pipelines with Git, Artifactory, and Xray.
• Implement observability and logging using Splunk, Datadog, and Grafana.
• Develop automation scripts in Python and Shell for cloud infrastructure.
• Ensure security compliance and monitoring using QRadar.

Required Skills

• 8-10 years of experience in cloud data engineering.
• Strong proficiency in Azure, AWS, and GCP.
• Hands-on experience with Databricks and Snowflake.
• Expertise in Python and Git-based CI-CD workflows.
• Experience with Splunk, Datadog, and Grafana for monitoring.
• Familiarity with Artifactory and Xray for artifact management.
• Bachelor's degree in Computer Science or related field.

Preferred Skills

• Experience with Terraform and Shell Scripting.
• Background in AI/ML infrastructure support.
• Security engineering knowledge with QRadar.

Key Skills

Education

Bachelor's degree