What are the responsibilities and job description for the GCP Data Analytics position at Apexon?
Company-
Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.
Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents.
Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement.
The Technical Delivery Manager would encompass overseeing technical project delivery for Data Warehouse, ensuring that business and technical requirements are met. This role oversees data design and the creation of database architecture and data repositories.
Skills Required :
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 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
