GCP

Job Title: GCP Data Engineer

Location

Experience Level

Job Summary:

GCP Data Engineer

Key Responsibilities:

• Design, build, and manage scalable data pipelines on Google Cloud Platform.
• Develop ETL/ELT processes using Cloud Dataflow, Apache Beam, and BigQuery.
• Ensure high data quality, integrity, and security.
• Implement data ingestion from various sources (streaming and batch).
• Collaborate with data scientists and analysts to support business insights.
• Optimize performance and cost of data pipelines and queries.

Required Qualifications:

• Bachelor's in Computer Science, Engineering, or a related field.
• Strong experience in GCP services: BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, etc.
• Strong SQL and Python programming skills.
• Hands-on experience with data modeling, warehousing, and pipeline orchestration.
• Familiarity with Apache Beam or similar data processing frameworks.

Preferred Skills:

• GCP Professional Data Engineer certification.
• Experience with Terraform or Deployment Manager for infrastructure as code.
• Exposure to machine learning workflows on GCP.

Job Title: GCP Developer

Location

Experience Level

Job Summary:

GCP Developer

Key Responsibilities:

• Design and implement microservices using GCP-native tools and APIs.
• Build serverless applications using Cloud Functions, App Engine, or Cloud Run.
• Integrate with GCP services such as Pub/Sub, Firestore, and Cloud Storage.
• Monitor, debug, and optimize application performance on GCP.
• Participate in CI/CD pipeline implementation and cloud automation.

Required Qualifications:

• Proficiency in at least one programming language (Python, Java, Go, or Node.js).
• Experience developing applications on Google Cloud.
• Strong understanding of GCP services and APIs.
• Familiarity with RESTful APIs, containers (Docker), and Kubernetes (GKE).

Preferred Skills:

• GCP Associate Cloud Engineer or Professional Cloud Developer certification.
• Experience with Cloud Build, Cloud Monitoring, and IAM configuration.
• Background in agile methodologies and DevOps culture.