Posted 18 May, 2026
GCP Devops Consultant
NR Consulting
Mumbai,Maharashtra
Full Time
Reference: 365_463738_26-02702
Title: GCP Devops Consultant
Location: Mumbai
Exp: 4+ Years
Job Description:
Key Responsibilities
• Design, implement, and maintain CI/CD pipelines for data engineering and analytics workloads.
• Manage and optimize GCP infrastructure supporting data processing and analytics platforms.
• Support deployment and monitoring of PySpark, Python, and SQL-based data pipelines.
• Work with data teams to orchestrate workflows using Apache Airflow / Cloud Composer.
• Implement infrastructure automation using Infrastructure as Code (IaC) tools.
• Ensure reliability, scalability, and security of cloud environments.
Required Skills
• PySpark, SQL, Python (hands-on experience with data pipelines)
• Google Cloud Platform (mandatory):
o Dataproc
o Dataflow
o BigQuery
o GCS (Cloud Storage)
o Cloud Composer
• CI/CD tools (Jenkins / GitHub Actions / GitLab CI)
• Infrastructure as Code (Terraform or similar)
• Containerization (Docker / Kubernetes basics)
Additional Skills (Good to Have)
• Basic understanding of AI / ML workflows and data pipelines
• Experience with AWS or Azure cloud environments
Location: Mumbai
Exp: 4+ Years
Job Description:
Key Responsibilities
• Design, implement, and maintain CI/CD pipelines for data engineering and analytics workloads.
• Manage and optimize GCP infrastructure supporting data processing and analytics platforms.
• Support deployment and monitoring of PySpark, Python, and SQL-based data pipelines.
• Work with data teams to orchestrate workflows using Apache Airflow / Cloud Composer.
• Implement infrastructure automation using Infrastructure as Code (IaC) tools.
• Ensure reliability, scalability, and security of cloud environments.
Required Skills
• PySpark, SQL, Python (hands-on experience with data pipelines)
• Google Cloud Platform (mandatory):
o Dataproc
o Dataflow
o BigQuery
o GCS (Cloud Storage)
o Cloud Composer
• CI/CD tools (Jenkins / GitHub Actions / GitLab CI)
• Infrastructure as Code (Terraform or similar)
• Containerization (Docker / Kubernetes basics)
Additional Skills (Good to Have)
• Basic understanding of AI / ML workflows and data pipelines
• Experience with AWS or Azure cloud environments
