Description

Manage and administer complex hybrid cloud data environments, ensuring high availability and performance for Azure-based analytics platforms.

Responsibilities

• Administer hybrid cloud applications and data platforms, including Informatica MDM, DQ, and ETL architectures.
• Build, optimize, and maintain data pipelines using Spark, Python, and Linux environments.
• Implement CI/CD, DevOps practices, and automated build/deployment solutions for configuration and test management.
• Develop and operate Elasticsearch and Kibana solutions for logging and monitoring.
• Write and maintain Unix/Linux shell scripts to support platform operations.

Required Skills

• 5+ years of platform administration experience in hybrid cloud environments.
• 3+ years of hands-on experience as a Platform Engineer with Spark, Python, Linux, and Database Management.
• 2+ years of design and implementation experience with large-scale data environments.
• 1+ years of development and operations experience with Elasticsearch and Kibana.
• Strong experience with CI/CD, DevOps, and automation tools.
• Proficiency in Unix/Linux shell scripting.
• Experience with Informatica administration and Big Data environments.

Preferred Skills

• Professional training and certifications in cloud data solutions.
• Experience with Informatica MDM, DQ, and ETL architecture.

Key Skills

Education

Any Graduate