Job Description
Ford
Software Engineer
Full -Time
Chennai, Tamil Nadu, India (Hybrid)
Ford is a family company, one that spans the globe and has shared ideals. We value service to each other and the world as much as to our customers. Generations have made their memories with us and included us in their hopes and dreams. After 121 years, we’re used to adapting to and leading change. That is why we are evolving to focus on services, experiences and software as well as vehicles.With the people of Ford around the world, our leadership is committed to serving all of our stakeholder groups. Like generations of leaders before them, they understand that by helping to create a world with fewer obstacles and limits, we help people to move forward and upward.
Any Degree
Freshers
1. Service-Oriented Architecture and Microservices: Strong understanding of SOA, microservices, and their application within a cloud data platform context.
2. Full-Stack Development: Knowledge of front-end and back-end technologies, enabling collaboration on data access and visualization layers (e.g.Angular, React, Node.js).
3. Database Management: Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases, as well as columnar databases like BigQuery.
4. Data Governance and Security: Understanding of data governance frameworks and implementing RBAC, encryption, and data masking in cloud environments.
5. CI/CD and Automation: Familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools like Terraform, and automation frameworks.
6. Problem-Solving: Strong analytical skills with the ability to troubleshoot complex data platform and microservices issues.
1. Design and Build Data Pipelines: Architect, develop, and maintain scalable data pipelines and microservices that support real-time and batch processing on GCP.
2. Service-Oriented Architecture (SOA) and Microservices: Design and implement SOA and microservices-based architectures to ensure modular, flexible, and maintainable data solutions.
3. 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.
4. 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.
Qualification-Btech, Mtech.
