- Role: Product Line Manager
- Location: Chennai
- Company: Ford
- Qualifications: Any Graduate or Postgraduate
- Experience: 3 – 7 years
- Employment Type: Full-Time, Permanent
Job Role: Product Line Manager
The function is a thrilling possibility to be a part of Ford’s Global Data Insights and Analytics (GDIA) crew. The GDIA crew is responsible for leveraging statistics to offer actionable insights to Ford’s choice-makers, letting them make evidence-based decisions that pressure the organization ahead. The position specializes in the usage of superior statistics engineering and cloud technologies to control and optimize Ford’s massive data landscape, assisting the employer supply on its task of creating a destiny pushed by using clever mobility.
As a Cloud Data Engineer, your function will revolve round some of Ford’s maximum high-profile projects, creating a tangible effect on the enterprise. You will address complex statistics demanding situations and make contributions to the improvement of a modern-day, corporation-huge records platform. This platform can be principal to Ford’s strategic projects, imparting commercial enterprise leaders and selection-makers clear insights with a purpose to form the employer’s future.
Key Responsibilities:
- Data Architecture Development: You could be tasked with refining and managing a records architecture roadmap that aligns with Ford’s broader records strategy. This includes taking part intently with facts engineers, scientists, and enterprise stakeholders to understand their facts desires and transforming them into technical models and specs.
- Cloud Technology Expertise: Leveraging Google Cloud Platform (GCP) offerings such as Cloud Pub/Sub, Dataflow, and BigQuery, you may build efficient and dependable facts pipelines. Your knowledge of cloud technologies will assist Ford’s technique of each established and unstructured statistic effectively, making sure that crucial insights are introduced to the right humans at the proper time.
- Data Quality and Governance: You can be accountable for growing and preserving statistics schemas and fashions, making sure records are integrity, consistent, and satisfactory across Ford’s numerous facts belongings. Implementing records governance practices will be an important part of this obligation.
- Performance Tuning and Optimization: A key aspect of the function includes figuring out bottlenecks and optimizing the performance of Ford’s records pipelines. This will contain performing distinct overall performance tuning and making sure that every one statistics processing systems meet stringent enterprise requirements.
- Emerging Technologies and Innovation: As a key participant in the information group, you’ll live abreast of rising technologies and satisfactory practices in the area of streaming records. Ford places a top rate on innovation, so you’ll be endorsed to adopt new technology and processes to hold the agency’s information structure contemporary.
- Collaborative Teamwork: You will paint carefully with move-purposeful teams to apprehend their facts and necessities and provide solutions that meet the company’s strategic targets. This will include liaising with other elements of Ford’s engineering, product improvement, and commercial enterprise groups.
Required Qualifications, Skills & Experience:
- Educational Background: A Bachelor’s Degree in Computer Science, Data Engineering, Informatics, or an associated field is required. Postgraduates also are welcome.
- Experience: 6+ years of experience in a Data Architect or a similar role, with a focus on cloud technologies like GCP, AWS, SQL, and NoSQL databases.
- Technical Proficiency: Strong skillability in Python and SQL is essential for statistics processing, automation, and querying obligations. Familiarity with Hadoop, Spark, Java, and different information processing frameworks might be exceedingly tremendous.
- Distributed Systems Expertise: An in-depth know-how of disbursed systems, statistics warehousing concepts, and cloud architecture may be a critical asset in this function.
- Communication Skills: As the function includes translating technical statistics necessities into commercial enterprise consequences, robust written and verbal communication skills are critical.
- DevOps and Automation: Experience with DevOps practices and tools, particularly inside the context of statistics engineering, might be notably useful.
Key Skills:
- Data Modeling
- Data Governance
- Automation
- Cloud Technologies (GCP, AWS)
- SQL & NoSQL Databases
- Python, Java, Spark
- Data Processing Frameworks
- Data Quality Best Practices
Why Ford?
Ford Motor Company has an iconic logo with a global presence. As part of the GDIA group, you’ll be joining an ahead-thinking division that performs a key function in Ford’s transformation into a facts-driven, clever mobility organization. You could have the possibility to paint on high-impact initiatives, using cutting-edge technology to remedy complicated problems.
At Ford, employees are given the resources to grow and thrive, with a supportive painting culture that encourages mastering and innovation. Joining Ford’s method became part of a company that isn’t always the handiest leader in the automobile industry but is also devoted to advancing generation and sustainability.
If you have a passion for statistics engineering and cloud technology and need to make an effect at one of the world’s most recognized manufacturers, this could be a suitable possibility for you!
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