Full Stack - Java Backend

5 - 10 years

18 - 25 Lacs

Posted:None| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Skills Required: Full stack + Data Engineer Position

Spring Boot, Angular, Cloud Computing

Skills Preferred:

Google Cloud Platform , Data Flow, Dataproc, Data Fusion, , Tekton,Cloud SQL, AIRFLOW, POSTGRES, Airflow PySpark, Python, API

Experience Required:

  • 5+ years of overall experience with proficiency in Java, angular or any javascript technology with experience in designing and deploying cloud-based data pipelines and microservices using GCP tools like , Dataflow, and Dataproc.

  • Ability to leverage best in-class data platform technologies (Apache Beam, Kafka, ) to deliver platform features, and design & orchestrate platform services to deliver data platform capabilities.

  • Service-Oriented Architecture and Microservices: Strong understanding of SOA, microservices, and their application within a cloud data platform context. Develop robust, scalable services using Java Spring Boot, Python, Angular, and GCP technologies.

  • Full-Stack Development: Knowledge of front-end and back-end technologies, enabling collaboration on data access and visualization layers (e.g., React, Node.js).

  • Design and develop RESTful APIs for seamless integration across platform services.

  • Implement robust unit and functional tests to maintain high standards of test coverage and quality.

  • Database Management: Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases, as well as columnar databases like BigQuery.

  • Data Governance and Security: Understanding of data governance frameworks and implementing RBAC, encryption, and data masking in cloud environments.

  • CI/CD and Automation: Familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools like Terraform, and automation frameworks.

  • Manage code changes with GitHub and troubleshoot and resolve application defects efficiently.

  • Ensure adherence to SDLC best practices, independently managing feature design, coding, testing, and production releases.

  • Problem-Solving: Strong analytical skills with the ability to troubleshoot complex data platform and microservices issues.


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