📋 Job Details at a Glance 📍 Location Chennai, Tamil Nadu, India 🏢 Company Ford 👥 Experience 4-6 years 🎓 Qualification Bachelor’s or Master’s Degree in a relevant field, or equivalent practical experience 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹11–₹17 LPA 🏢 Industry Technology 🛠 Key Skills Python PySpark Pandas NumPy SQL Data Engineering Data Pipelines ML Infrastructure MLOps Google Cloud Platform Data Engineer at Ford — Full Details & How to Apply Ford is seeking a Data Engineer in Chennai, Tamil Nadu, India to enhance its ML infrastructure. This role offers freshers a chance to work with cutting-edge Google Cloud technologies, making it a pivotal opportunity in the growing tech landscape. The demand for skilled Data Engineer jobs is surging in India, particularly in tech hubs like Chennai, where Ford is expanding its data capabilities. As companies increasingly rely on data-driven decision-making, this role is essential for optimizing data pipelines that enhance Ford's machine learning capabilities, directly impacting product development and customer experience. What sets Ford apart as an employer is its rich history and commitment to innovation. Founded in 1903 , Ford is a global leader in automotive technology with over 186,000 employees worldwide. The company's culture emphasizes internal promotions and skill development, making it an attractive option for those looking to grow their careers in technology. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor’s or Master’s Degree in a relevant field, or equivalent practical experience to apply. Candidates with 4-6 years experience can expect a competitive salary ranging from ₹11–₹17 LPA , making this role not only a career starter but also a financially rewarding opportunity. In this position, you will gain hands-on experience with advanced tools like Python , PySpark , Pandas , NumPy , and Google Cloud Platform . The exposure to technologies such as Vertex AI and Dataflow will equip you with a unique skill set that is highly sought after in the industry, opening doors to rapid career advancement in data engineering and beyond. 📊 Role Difficulty: Medium | Competition Level: High | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Data Engineer role at Ford is to design and implement robust data pipelines that enhance data processing efficiency and support machine learning initiatives. Design and implement data pipelines using Google Cloud Dataflow to ensure efficient data processing and storage. Utilize Python and PySpark for data transformation tasks, ensuring high-quality data for analytics and reporting. Collaborate with the ML Infrastructure team to integrate machine learning models into production environments, enhancing operational capabilities. Monitor and optimize data pipeline performance, aiming for a 20% reduction in processing time through systematic analysis. Take ownership of documentation for data engineering processes, ensuring clarity and compliance with best practices in Git . Communicate data insights to cross-functional teams, enhancing decision-making processes across the organization through effective data storytelling. Troubleshoot data-related issues, providing timely solutions to maintain data integrity and availability using SQL queries. This role fosters an ownership culture, allowing you to directly impact data-driven decisions and contribute to the overall success of Ford . Required Skills & Technical Competencies The ideal candidate for the Data Engineer position must possess a strong technical skill profile to effectively manage and optimize data workflows. Technical Skills Python — intermediate — essential for developing data processing scripts and automating data workflows. PySpark — intermediate — used for handling large datasets efficiently during data transformation tasks. SQL — intermediate — fundamental for querying databases and performing data retrieval and manipulation daily. Google Cloud Platform — intermediate — familiarity with BigQuery and Cloud Storage is necessary for effective data management. Docker — intermediate — knowledge of containerization is important for deploying applications consistently across various environments. When showcasing these technical skills in your resume or interview, emphasize specific projects where you utilized these technologies to solve real-world problems. Eligibility Criteria This role is designed for candidates with a strong educational background and relevant technical experience in data engineering. A Bachelor’s or Master’s Degree in Computer Science, Engineering, or related fields is required. Eligible batches include 2023 to 2026 , allowing recent graduates to apply and kickstart their careers. 4-6 years of experience is preferred, but freshers with relevant internships or projects may be considered. A minimum CGPA of 7.0 is preferred to demonstrate academic proficiency in technical subjects. Having a GitHub portfolio showcasing relevant projects can provide a competitive edge in the application process. Documentation & Portfolio Requirements Ensure your resume is well-structured, highlighting your technical skills, relevant projects, and educational background. Include links to your GitHub portfolio for a comprehensive view of your work. Pro tip: Tailor your application to highlight specific projects where you utilized Google Cloud Platform tools, as this will resonate well with the hiring team at Ford . Salary for Data Engineer at Ford 💰 Compensation ₹11–₹17 LPA The advertised compensation for the Data Engineer role at Ford is ₹11–₹17 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Data Engineer Upskilling with the right resources significantly enhances your chances of selection for the Data Engineer role at Ford . Recommended Courses & Resources Python — Essential for data manipulation and analysis in engineering tasks. Pandas — Crucial for data manipulation and analysis, especially with large datasets. NumPy — Important for numerical computations and handling arrays efficiently. SQL — Vital for querying and managing databases effectively. KodNest — Provides hands-on experience with data engineering projects and tools. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume — Customize your resume to highlight relevant skills and experiences specific to data engineering. ❌ Neglecting practical projects — Include internships or projects that demonstrate your technical capabilities. ❌ Using a one-size-fits-all approach — Customize your application for Ford's specific requirements. ❌ Overlooking teamwork and collaboration — Showcase your ability to work effectively in cross-functional teams. ❌ Not preparing for technical interviews — Practice coding problems relevant to data engineering. ❌ Ignoring soft skills — Highlight communication skills crucial for collaboration. Before You Apply — Checklist ✅ Research Ford's recent projects and initiatives to tailor your application effectively. ✅ Update your resume to include relevant skills and projects that align with the job description. ✅ Prepare a cover letter that highlights your interest in data engineering and Ford . ✅ Gather references who can speak to your technical abilities and teamwork skills. ✅ Ensure your LinkedIn profile is updated and reflects your latest experiences. ✅ Practice common data engineering interview questions and coding challenges. ✅ Double-check your application for errors before submission. ✅ Set reminders to follow up on your application status after submission. Resume Tailoring & ATS Keywords for Data Engineer Optimizing your resume for ATS is crucial for securing an interview for the Data Engineer role at Ford . ATS Keywords to Include Data Engineer Python PySpark SQL Google Cloud Platform Data Pipelines MLOps BigQuery Cloud Functions Docker Git System Optimization Resume Tips for This Role Highlight relevant projects involving data engineering tools to demonstrate practical experience. Emphasize teamwork and collaboration skills, particularly in cross-functional settings. Include a link to your GitHub or portfolio showcasing your coding projects and contributions. Optimize your resume for ATS by including keywords from the job description. Avoid generic statements; focus on specific achievements and skills relevant to the role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including irrelevant work experience that does not pertain to data engineering. How to Apply for Data Engineer at Ford Apply Now — Ford Visit the application portal and create an account to start your application. Upload your resume in PDF format, ensuring it is tailored to the job description. Fill out the application form accurately, providing all required details. After submission, you can expect a confirmation email regarding your application status. Use the application portal to track your application progress and updates. Applications reviewed on rolling basis — early submission recommended. Apply Now — Ford NexisGrow.com does not charge any fees for job applications. Ford Ford was founded in 1903 and is headquartered in Dearborn, Michigan . With a global workforce of over 186,000 employees , the company has established a significant presence in Chennai, Tamil Nadu, India , employing thousands in various technology roles. This extensive footprint allows Ford to leverage diverse talent across multiple regions. Ford is recognized for its innovative vehicles and technology solutions, including the Ford Mustang Mach-E and the Ford F-150 Lightning . The company is also advancing in the realm of autonomous driving with its Ford Co-Pilot360 technology. These offerings exemplify Ford's commitment to integrating cutting-edge technology into its products. The company culture at Ford emphasizes inclusivity and employee satisfaction, earning accolades such as a spot on the Fortune 100 Best Companies to Work For . Ford actively promotes diversity initiatives and has received recognition for its employee resource groups, fostering a supportive environment for all employees. Recently, Ford announced a substantial $50 billion investment in electric vehicle technology, reinforcing its focus on sustainability and innovation. This initiative aims to accelerate the development of electric and autonomous vehicles, positioning Ford as a leader in the automotive industry's transition to greener technologies. Joining Ford as a fresher in technology offers unparalleled exposure to industry-leading practices in data engineering and machine learning. The company's commitment to innovation provides a strong foundation for career growth, allowing new employees to work with advanced technologies and contribute to transformative projects. Company Details Industry Technology Location Chennai, Tamil Nadu, India Connect With Us Careers Apply Now Website 🔗 efds.fa.em5.oraclecloud.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Engineer at Ford? Eligibility Tap to expand + Answer Candidates with Bachelor’s or Master’s Degree in a relevant field, or equivalent practical experience and 4-6 years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, PySpark, Pandas, NumPy, SQL. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹11–₹17 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Ford? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Python, PySpark, Pandas, NumPy, SQL. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Data Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of Python, PySpark, Pandas, NumPy, SQL, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Ford research, (5) Clear communication. ? What is the work culture like at Ford? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Chennai Browse all Tech jobs Latest Fresher jobs More jobs at Ford Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com