+ **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 + **Design and Build Data Pipelines:** Architect, develop, and maintain scalable data pipelines and microservices that support real-time and batch processing on GCP. + **Service-Oriented Architecture (SOA) and Microservices:** Design and implement SOA and microservices-based architectures to ensure modular, flexible, and maintainable data solutions. + **Full-Stack Integration:** Leverage your full-stack expertise to contribute to the seamless integration of front-end and back-end components, ensuring robust data access and UI-driven data exploration. + **Data Ingestion and Integration:** Lead the ingestion and integration of data from various sources into the data platform, ensuring data is standardized and optimized for analytics. + **GCP Data Solutions:** Utilize GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that meet business needs. + **Data Governance and Security:** Implement and manage data governance, access controls, and security best practices while leveraging GCP’s native row- and column-level security features. + **Performance Optimization:** Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions. + **Collaboration and Best Practices:** Work closely with data architects, software engineers, and cross-functional teams to define best practices, design patterns, and frameworks for cloud data engineering. + **Automation and Reliability:** Automate data platform processes to enhance reliability, reduce manual intervention, and improve operational efficiency. Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field. Master’s degree or equivalent experience preferred. **Requisition ID** : 42989