Description

You will design, implement, and optimize real-time data pipelines and REST APIs within a GCP environment.

This role is on-site.

Responsibilities

• Build automated, scalable data pipelines using GCP tools and custom Python or Scala solutions.
• Design and develop RESTful APIs and microservices using Spring Boot.
• Implement business logic, security protocols (JWT/OAuth), and database operations.
• Run Spark and Hadoop clusters using Dataproc and manage stream/batch processing via Dataflow.
• Optimize backend performance, scalability, and maintainability for data-driven initiatives.

Required Skills

• 5+ years of experience in data engineering or backend development.
• Proficiency with GCP big data tools: BigQuery, Dataproc, Dataflow, and Pub/Sub.
• Strong programming skills in Java, SQL, Python, or Scala.
• Experience with Spring Boot for building microservices and RESTful APIs.
• Hands-on experience with relational and NoSQL databases: MySQL, PostgreSQL, MongoDB, and Cloud SQL.
• Knowledge of GCP infrastructure: Cloud Storage, Compute Engine, and Cloud Functions.
• Familiarity with Kubernetes (GKE) and containerization for pipeline deployment.
• Understanding of CI/CD workflows using Cloud Build or GitHub Actions.
• Experience with monitoring and logging using Cloud Monitoring and Cloud Logging.

Preferred Skills

• Experience prototyping with new GCP features or third-party integrations.

Key Skills

Education

Any Graduate