Java Developer
5 days ago
Java Developer GCP Dataflow
Experience: 58 years
Role Overview:
We are seeking a skilled Java Developer with hands-on experience in Google Cloud Platform (GCP), specifically with Dataflow, to join our data engineering team. The ideal candidate will be responsible for designing and implementing scalable data pipelines using Apache Beam on GCP Dataflow, integrating with various cloud-native services, and contributing to the modernization of our data infrastructure.
Key Responsibilities:
- Design, develop, and deploy batch and streaming data pipelines using Apache Beam and GCP Dataflow.
- Build robust backend services using Java 8+, Spring Boot, and Microservices architecture.
- Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
- Optimize pipeline performance and ensure fault-tolerant data processing.
- Integrate with GCP services such as BigQuery, Pub/Sub, Cloud Storage, and Dataplex.
- Implement CI/CD pipelines using tools like Jenkins, GitHub, and Terraform.
- Ensure code quality through unit testing (JUnit, Mockito) and participate in code reviews.
Required Skills:
- Strong proficiency in Java, including multithreading, collections, and design patterns.
- Experience with Apache Beam and GCP Dataflow for data processing.
- Familiarity with GCP ecosystem: BigQuery, Pub/Sub, Cloud Storage, Dataproc, Dataplex.
- Solid understanding of Spring Boot, REST APIs, and microservices.
- Experience with SQL and NoSQL databases (MySQL, PostgreSQL, DynamoDB).
- Knowledge of CI/CD tools and cloud deployment strategies.
- Exposure to containerization (Docker, Kubernetes) is a plus.
Preferred Qualifications:
- GCP Professional Data Engineer Certification or equivalent experience.
- Experience with streaming analytics and real-time data processing.
- Familiarity with data governance and metadata management tools.
Soft Skills:
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Ability to work independently and lead small teams.
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Thanks & Regards
Arun (Talent Acquisition)
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