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Ford Off Campus Drive 2025 for the post of Software Engineer. The students from various disciplines can apply for Ford Recruitment 2025. The detailed eligibility, Requirements, Salary, and application process are given below.

About Company: Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. 

Ford Off-Campus Drive 2025:

Organization Ford 
Job Title Software Engineer
Salary 8 LPA (Expected)
Location Chennai
Job Type Full time
Experience 0 – 2 Years
Batch 2019/20/21/22/23/24/25

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Job Description:

  • 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.
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Skills:

  • 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.

Qualification: 

  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field. Master’s degree or equivalent experience preferred.

Selection Process:

  • Profile Screening
  • Online Assessment Test
  • Technical Discussion
  • HR Discussion

How to Apply for Ford Ford Off Campus Drive 2025?

Interested and Eligible candidates can apply for this drive online by using the link below.

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