At Ford, an Analytics Software Engineer at Ford contributes to the company’s statistics-driven choice-making using building scalable cloud-based total analytics solutions. The position consists of engineering immoderate-performance data pipelines with the usage of Google Cloud Platform (GCP), with a focus on Dataproc, DataFlow, and VertexAI. The engineer collaborates cautiously with builders, records scientists, and cloud architects to optimize Spark, Python, and Java jobs. Responsibilities additionally encompass infrastructure automation with Terraform and Tekton and ensuring sturdy system tracking. Based in Hyderabad, this feature offers an interesting danger to paintings on the intersection of vehicle innovation and cloud-based analytics.
- Job Description: Analytics Software Engineer at Ford
- Role: Analytics Software Engineer
- Company: Ford
- Experience: 5 – 6 Years
- Salary: Not disclosed
- Location: Kolkata, Mumbai, New Delhi, Hyderabad, Pune, Chennai, Bengaluru
Analytics Software Engineer Job in ChennaiÂ
Ford is a worldwide leader in vehicle innovation, leveraging the current era to force digital transformation. As an Analytics Software Engineer at Ford, you will play a critical function in developing and dealing with excessive-overall performance information processing pipelines with the use of GCP Dataproc, DataFlow, and VertexAI offerings. This function is based totally in Hyderabad, supplying an interesting possibility to work on massive-scale statistics engineering and machine analyzing projects.
About CompanyÂ
Ford Motor Company is a globally recognized automobile big devoted to innovation, sustainability, and virtual transformation. Founded in 1903, Ford has pioneered enhancements in car engineering, electric-powered powered automobiles, and mobility solutions. The agency is investing intently in AI-pushed analytics, cloud computing, and independent vehicle technologies. With a robust presence in Hyderabad, Ford keeps amplifying its virtual abilities, growing cutting-edge answers for clever mobility. Employees at Ford benefit from a collaborative painting lifestyle, get admission to magnificence and have opportunities to form the future of the car industry. Ford stays at the leading edge of redefining the riding revel through generation and statistics-pushed insights.
Role and Responsibilities
Engineer and Manage Cloud Services: Develop, check, report, and maintain GCP Dataproc, DataFlow, and VertexAI services for high-overall performance information processing and device studying applications.
Optimize Data Processing Jobs: Assist developers in amazing-tuning Spark, Python, and Java-primarily based completely information processing workflows to beautify performance and performance.
Integration with Cloud Services: Collaborate with development organizations to seamlessly combine facts processing pipelines with numerous cloud-based absolutely applications and offerings.
Infrastructure as Code (IaC) and CI/CD: Utilize Terraform and Tekton to automate infrastructure manipulation and streamline CI/CD pipelines for cloud assets.
Monitoring and Troubleshooting: Continuously screen VertexAI, DataFlow, and Dataproc offerings, proactively identifying and resolving troubles to ensure maximum uptime and reliability.
Skills for Analytics Software Engineer at Ford
Proficiency in Cloud Computing: Strong enjoyment of Google Cloud Platform (GCP) offerings, mainly Dataproc, DataFlow, and VertexAI.
Programming Expertise: Proficiency in Python, Java, and Spark, with a focal point on optimizing records processing and analytics workflows.
Infrastructure as Code (IaC) & CI/CD: Hands-on revel with Terraform and Tekton to manage and set up cloud infrastructure efficaciously.
Monitoring and Debugging: Ability to diagnose and troubleshoot VertexAI, DataFlow, and Dataproc jobs and clusters effectively.
Collaboration and Integration: Strong capability to work with cross-useful groups to combine cloud services and applications seamlessly.
Education and Qualifications
Bachelor’s/Master’s degree in Computer Science, Data Engineering, or a related problem.
Three+ years of experience in information engineering, cloud computing, or analytics software program software development.
Certifications in Google Cloud (which include Professional Data Engineer or Cloud Architect) are desired.
Strong facts of system gaining knowledge of models and their deployment in the use of VertexAI.
Experience with big data eras like Apache Spark, Apache Beam, and Kafka.
Benefits at FordÂ
Competitive Compensation & Bonuses: Ford gives market-leading salaries and performance-primarily based bonuses to praise personnel contributions.
Comprehensive Health & Wellness Plans: Employees acquire enormous medical insurance, health applications, and highbrow health help.
Professional Growth & Learning Opportunities: Ford offers get right of entry to to certifications, education programs, and career development assets.
Flexible Work Environment: Employees revel in hybrid artwork models, allowing stability among administrative center and far-flung artwork.
Employee Discounts & Perks: Exclusive reductions on Ford automobiles, tours, and health memberships, and further beautify the employee revel.
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