ERS Open || Cloud Engineer & Data Engineer

Approved TP SR

ERS/ERS/2025/2744035

ERS/ERS/2025/2744054

BR

1608793BR

1607995BR

Total Open Positions

3

3

Band

E2.1

E2.1

Experience

3 to 5 Years

3 to 5 Years

Skill

Cloud Engineer

Data Engineer

Bill Rate

160000

160000

SOW signed Yes / No

Yes

Yes

Billing Start Date

Immediate

Immediate

Customer

Google

Google

Customer BGV Yes / No

Yes

Yes

Tentative Project Timeline

12 Months

12 Months

Work Location

PAN India

PAN India

Detailed JD

• Cloud Infrastructure Design & Implementation:
  
  
  
  • Design, deploy, and manage scalable, highly available, and fault-tolerant cloud infrastructure on GCP using services such as Compute Engine, Google Kubernetes Engine (GKE), Cloud SQL, Cloud Storage, VPC, Cloud Load Balancing, and Cloud DNS.
  
  
  • Implement Infrastructure as Code (IaC) using tools like Terraform or Google Cloud Deployment Manager to automate the provisioning and management of GCP resources.
  
  
  • Develop and maintain robust CI/CD pipelines for deploying applications and infrastructure to GCP.
  
  
  
  


• Platform Operations & Optimization:
  
  
  
  • Monitor, troubleshoot, and optimize the performance, cost, and availability of GCP resources and applications using Google Clouds operations suite (Cloud Monitoring, Cloud Logging, Cloud Trace, Cloud Profiler).
  
  
  • Implement and manage disaster recovery and backup strategies for cloud-based systems.
  
  
  • Identify and implement cost-optimization strategies for GCP resources.
  
  
  
  


• Security & Compliance:
  
  
  
  • Implement and enforce security best practices within GCP environments, including Identity and Access Management (IAM), network security policies, data encryption, and vulnerability management.
  
  
  • Ensure compliance with relevant industry standards and internal security policies.
  
  
  
  


• Collaboration & Support:
  
  
  
  • Collaborate closely with development, DevOps, and architecture teams to define cloud solutions, integrate applications, and ensure adherence to best practices.
  
  
  • Provide technical expertise and support for cloud-based applications, troubleshooting issues, and ensuring timely resolution.
  
  
  • Document cloud infrastructure, configurations, and operational procedures.
  
  
  
  


• Innovation & Continuous Improvement:
  
  
  
  • Stay up-to-date with the latest GCP services, features, and best practices.
  
  
  • Proactively identify opportunities for automation, efficiency improvements, and innovation within the cloud environment.
  
  
  
  

Required Skills & Qualifications:

• Education: Bachelors degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent practical experience).


• Experience: 5+ years of hands-on experience designing, deploying, and managing solutions on Google Cloud Platform.


• GCP Expertise:
  
  
  
  • In-depth knowledge and hands-on experience with core GCP services (e.g., Compute Engine, GKE, Cloud SQL, Cloud Storage, VPC, IAM, Cloud Functions, Cloud Pub/Sub).
  
  
  • Strong understanding of cloud architecture principles (scalability, reliability, security, cost optimization).
  
  
  
  


• Infrastructure as Code (IaC):
  
  
  
  • Proficiency with Terraform for managing GCP infrastructure.
  
  
  • Experience with configuration management tools (e.g., Ansible, Puppet, Chef) is a plus.
  
  
  
  


• Containerization & Orchestration:
  
  
  
  • Strong understanding of Docker and Kubernetes.
  
  
  • Hands-on experience with Google Kubernetes Engine (GKE).
  
  
  
  


• Scripting & Automation:
  
  
  
  • Proficiency in at least one scripting language (e.g., Python, Bash, Go).
  
  
  • Experience with CI/CD tools (e.g., Cloud Build, Jenkins, GitLab CI).
  
  
  
  


• Networking: Solid understanding of networking concepts (VPC, subnets, firewall rules, load balancing, DNS) within a cloud environment.


• Security: Knowledge of cloud security best practices, identity and access management, and data protection.


• Monitoring & Logging: Experience with GCPs operations suite (Cloud Monitoring, Cloud Logging) for observability and troubleshooting.


• Problem-Solving: Excellent analytical and problem-solving skills with a strong attention to detail.


• Communication: Strong verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams.

Job Summary:We are seeking a highly motivated and experienced GCP Data Engineer to join our growing team. The ideal candidate will be responsible for designing, developing, and maintaining scalable and robust data pipelines and architectures on Google Cloud Platform. You will work closely with data scientists, analysts, and other stakeholders to ensure data availability, quality, and usability, contributing to our data-driven initiatives.

Required Qualifications:

• Bachelors degree in Computer Science, Engineering, Information Technology, or a related quantitative field.


• Proven experience (typically 5+ years) as a Data Engineer, with a strong focus on Google Cloud Platform.


• In-depth knowledge and hands-on experience with core GCP data services such as:
  
  
  
  • BigQuery: For data warehousing, querying, and analytics.
  
  
  • Cloud Dataflow: For batch and stream data processing.
  
  
  • Cloud Pub/Sub: For real-time messaging and event ingestion.
  
  
  • Cloud Storage: For scalable and durable object storage.
  
  
  • Cloud Composer (Apache Airflow): For workflow orchestration and pipeline management.
  
  
  • Cloud Dataproc: For managed Hadoop and Spark clusters (good to have).
  
  
  • Cloud SQL/Cloud Spanner/Cloud Bigtable: Experience with relational and NoSQL databases.
  
  
  
  


• Strong proficiency in SQL for data manipulation, querying, and optimization.


• Expertise in at least one programming language commonly used in data engineering, preferably Python. Scala or Java is a plus.


• Solid understanding of data warehousing concepts, data modeling techniques (dimensional modeling, Kimball, Inmon), and ETL/ELT processes.


• Experience with version control systems (e.g., Git).


• Strong analytical, problem-solving, and debugging skills.


• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

Preferred Qualifications:

• Google Cloud Professional Data Engineer certification.


• Experience with data visualization tools (e.g., Looker, Tableau, Power BI).


• Familiarity with CI/CD pipelines for data engineering workflows.


• Knowledge of data governance frameworks and tools.


• Experience with real-time data processing and streaming architectures.


• Basic understanding of machine learning concepts and how to operationalize ML models.