Company Name: Ford
Job Role: Software Engineer
Experience: No Prior Experience Required
Qualification: Bachelor Degree
Job Type: Full Time
Job Location: Chennai
Salary: Best in Industry
Job Description:
| WORK FROM HOME JOBS | ||
|---|---|---|
| Amazon | Rs.2,43,000/- to Rs.4,33,000/- | Apply Here |
| Data Entry | Rs.3,00,000/- to Rs.5,00,000/- | Apply Here |
| .Net Developer | Rs.2,40,000/- to Rs.5,00,000/- | Apply Here |
| Developer | Rs.3,00,000/- to 8,00,000/- Lakhs | Apply Here |
| AI Consultant | Best in Industry | Apply Here |
| Fullstack Developer | Rs.3,00,000/- to 8,00,000/- Lakhs | Apply Here |
| Software Development Engineer | Rs.6,00,000/- to 8,00,000/- Lakhs | Apply Here |
| Junior Data Analyst | Best in Industry | Apply Here |
| AI Backend Engineer | Rs.3,00,000/- to 8,00,000/- Lakhs | Apply Here |
| Automation Engineer | Rs.5,00,000/- to 12,00,000/- Lakhs | Apply Here |
Responsibilities of the Candidate:
- 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.
Requirements:
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field. Master’s degree or equivalent experience preferred.
- 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.
| Ford Recruitment For Freshers Apply Link: | Apply Here |
Hot Openings:
