Data Engineer

Key Skills

Ruby on Rails, Java Programming, Python Programming, C++, SQL, DevOps, Azure, AWS, Apache Hadoop, Machine learning techniques, QlikView, Tableau, Apache Hive, R Programming

Job Description

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.

Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.
 

What you’ll be able to do:

The data engineer will be responsible for crafting data storage solutions, implementing data storage solutions, optimizing data storage solutions landing data, manipulating data, and providing L2 support. In this role, you will collaborate with multiple organizations (Business Customers, Product Owners, Data Tech, IT) to convert business goals into data storage solutions. This role will work in small, cross functional teams and embrace lean and agile practices, software best practices, software quality scanning, automated testing, and CI/CD. The responsibilities include:

• Requirements management: Identify, document, communicate and design per requirements.
• Design: Design data stores.
• Implement data stores: Implement data stores (Hadoop, relational DBs, NoSQL DBs, GCP, etc.).
• Data Landing: Perform Extract, Transform and Load (ETL) or variations of this activity.
• Test: Participate in testing.
• Tune: Tune data stores (indexes, SQL queries) to improve performance.
• L2 Support: Assist with customer inquiries and incidents/problems.
• Manage: Lead and support integration projects and discuss status with executives.
• Collaborate: Work within/across teams.

The minimum requirements we seek:

• Bachelor’s degree in computer science, computer engineering or related field.
• 3+ years with Python, PySpark and Hadoop.
• 3+ years’ experience in developing ETL pipelines.
• 1+ year experience with GCP.

Our preferred requirements:

• Master’s degree in computer science, computer engineering or related field.
• Experience with Kafka, MQTT for Streaming of data.
• Teradata experience.
• Hands on experience with Qlikview, QlikSense, Tableau.
• Experience with Data Architecture.
• Good experience with Performance tuning.
• Prior experience in coordinating ongoing landing of data.
• Experience with Oracle, NoSQL databases.
• L2/L3 support experience.
• Critical thinking and decision making.
• Strong communication skills – both verbal and written.

What you’ll receive in return:

As part of the Ford family, you’ll enjoy excellent compensation and a comprehensive benefits package that includes generous PTO, retirement, savings and stock investment plans, incentive compensation and much more. You’ll also experience exciting opportunities for professional and personal growth and recognition.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States permanently. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.