GCP Data DevOps

This role focuses on building and maintaining robust data pipelines and infrastructure within a cloud environment. The ideal candidate will possess a strong understanding of DevOps principles and experience with Google Cloud Platform (GCP), data engineering tools, and automation techniques.

Key Responsibilities:

Design, build, and maintain data pipelines using GCP services.
Implement and manage infrastructure as code (IaC) for data environments.
Automate deployment and configuration management processes.
Monitor and troubleshoot data pipeline performance and reliability.
Collaborate with data engineers, developers, and operations teams.
Ensure data security and compliance.

Requirements/Qualifications:

Experience with Google Cloud Platform (GCP) services (e.g., Compute Engine, Cloud Storage, BigQuery, Dataflow, Dataproc).
Proficiency in DevOps practices and tools (e.g., CI/CD, automation, monitoring).
Experience with data engineering tools and technologies.
Strong scripting skills (e.g., Python, Bash).
Understanding of data warehousing and ETL concepts.
Excellent problem-solving and communication skills.

About the Company: Epam Systems is a global provider of digital platform engineering and software development services. They help clients design, develop, and modernize their products and platforms.