About this role
- Technical Skills: Proficient in Java, angular or any javascript technology with experience in designing and deploying cloud-based data pipelines and microservices using GCP tools like BigQuery, 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.
- Certifications (Preferred): GCP Data Engineer, GCP Professional Cloud
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field. Master’s degree or equivalent experience preferred.