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Big Data Engineer with Java

New York, NY, US

$55–$60
3 days ago
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Summary

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Cynet Systems, is seeking the following. Apply via Dice today!

Job Description:

Pay Range: $55hr - $60hr

Technical Skills:

  • Core Data Engineering Skills.
  • Proficiency in using Google Cloud Platform s big data tools like:
  • BigQuery: For data warehousing and SQL analytics.
  • Dataproc: For running Spark and Hadoop clusters.
  • Google Cloud Platform Dataflow: For stream and batch data processing (High level Idea
  • Google Cloud Platform Pub/Sub: For real-time messaging and event ingestion. (High level Idea
  • Expertise in building automated, scalable, and reliable pipelines using custom Python/Scala solutions or Cloud Data Functions.
  • Programming and Scripting.
  • Strong coding skills in SQL, and Java.
  • Familiarity with APIs and SDKs for Google Cloud Platform services to build custom data solutions.
  • Cloud Infrastructure.
  • Understanding of Google Cloud Platform services such as Cloud Storage, Compute Engine, and Cloud Functions.
  • Familiarity with Kubernetes (GKE) and containerization for deploying data pipelines. (Optional but Good to have).
  • DevOps and CUCD.
  • Experience setting up CICD pipelines using Cloud Build, GitHub Actions, or other tools.
  • Monitoring and logging tools like Cloud Monitoring and Cloud Logging for production workflows.
  • Backend Development (Spring Boot & Java).
  • Design and develop RESTful APIs and microservices using Spring Boot.
  • Implement business logic, security, authentication (JWT/OAuth), and database operations.
  • Work with relational databases (MySQL, PostgreSQL, MongoDB. Cloud SQL).
  • Optimize backend performance, scalability, and maintainability.
  • Implement unit testing and integration testing.

Soft Skills:

  • Innovation and Problem-Solving.
  • Ability to think creatively and design innovative solutions for complex data challenges.
  • Experience in prototyping and experimenting with cutting-edge Google Cloud Platform tools or third-party integrations.
  • Strong analytical mindset to transform raw data into actionable insights.
  • Collaboration.
  • Teamwork: Ability to collaborate effectively with data analysts, and business stakeholders.
  • Communication: Strong verbal and written communication skills to explain technical concepts to non-technical audiences.
  • Adaptability and Continuous Learning.
  • Open to exploring new Google Cloud Platform features and rapidly adapting to changes in cloud technology.

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