SE Software Engineer
Share
Job Location:
Yearly Salary:
Posted on:
Vacancies:
Job Summary
As a Data Engineer you will be responsible for designing architecting and delivering end-to-end solutions that replace manual/semi-automated processes with a cloud-enabled automated and analytics-driven platform. You will collaborate with business stakeholders product owners and engineering teams to define requirements design and develop the API gateways and analytics and AI/ML. The ideal candidate has deep Data engineering skills strong cloud and data expertise and proven experience in building enterprise-grade data analytics addition to hands-on development you will provide technical leadership ensure adherence to software engineering best practices and support product lifecycle management.
Responsibilities
Key Responsibilities:
- Solution Architecture & Design
- Define and implement cloud-native architectures for scalable and secure data platforms.
- Design robust ETL pipelines and data integration frameworks.
- Create and maintain application and data models ensuring alignment with business requirements.
- API Development
- Develop end-to-end solution from front-end interfaces to back-end services and APIs.
- Oversee code quality architecture reviews and best practices in software design.
- Drive automation in build deployment and release management.
- Data Analytics & Reporting
- Build and optimize analytics and reporting dashboards for actionable insights.
- Implement solutions for data visualization anomaly detection and trend analysis.
- Agile Methodology
- Collaborate with Product Management to define the roadmap technical priorities and release strategy.
- Actively participate in creating development workflows and sprint planning through JIRA
Qualifications
Required Skills & Experience:
- Expertise in cloud data architecture (GCP or Azure).
- Strong experience in ETL design data integration and database management (Alteryx SQL and NoSQL).
- Hands-on experience in API development such as REST GrapQL and Data streaming platform such as Kafka
- Hands on experience with data analytics and visualization tools (Qlik Sense Power BI or Tableau).
- Familiarity with AI/ML technologies and creating API endpoints
- Familiarity with DevOps practices CI/CD pipelines and monitoring tools.
- Strong expertise in Python Data Maturity model and familiarity with data analytics methods such as regression model
- Proficiency in full stack development:
- Front-end: React Angular or similar frameworks.
- Back-end: Python or Java
- Databases: PostgreSQL BigQuery NoSQL
- Strong leadership in Agile/Scrum environments with JIRA or similar project management tools.
- Excellent problem-solving architectural thinking and communication skills.
- Bachelors or masters degree or related field.
- 4 to 5 years of data engineering / software development experience
- Certifications in cloud platforms (AWS/Azure/GCP) is a plus.
Key Skills
- Spring
- .NET
- C/C++
- Go
- React
- OOP
- C#
- Data Structures
- JavaScript
- Software Development
- Java
- Distributed Systems
About Company
Ford® is Built for America. Discover the latest lineup in new Ford vehicles! Explore hybrid & electric vehicle options, see photos, build & price, search inventory, view pricing & incentives & see the latest technology & news happening at Ford.
