Senior Data Engineer

Key Responsibilities:

• Design and develop scalable data pipelines using

  Apache Spark (Java)

  , Apache Beam, or Kubeflow.
• Manage and configure

  GCP services

  : BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage.
• Develop and maintain

  RESTful APIs

  using Spring Boot.
• Implement

  test automation

  , CI/CD pipelines, and monitoring solutions.
• Collaborate with cross-functional teams to deliver optimized data solutions.
  
• Ensure performance, scalability, and cost-efficiency of data systems.
  

Required Skills:

• Strong proficiency in

  Java programming

  .
• Expertise in

  Apache Spark

  for large-scale data processing.
• Solid hands-on experience with

  GCP services

  .
• Experience in API development (Spring Boot).
  
• Knowledge of CI/CD tools (Jenkins, GitLab CI, Cloud Build).
  
• Strong debugging, problem-solving, and communication skills.
  

Preferred Skills:

• Apache Beam, Flink, or Kubeflow.
  
• Infrastructure-as-code (Terraform, Deployment Manager).
  
• Containerization (Docker, Kubernetes).
  
• Exposure to AI/ML data pipeline requirements.

Education:

How to Apply:

• Years of experience as Data engineer
• Years of experience with GCP
• Years of experience with GenAI/LLM
• Years of experience with Java programming
• Years of experience with Apache Spark