Data Engineer Supervisor - Monterrey

There are 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we’re all about at John Deere. And it’s why we’re investing in our people and our technology like never before in our more than 185 - year history. Here the world’s brightest minds are tackling the world’s biggest challenges. If you believe one person can make the world a better place, we’ll put you to work. RIGHT NOW.

Title: Data Engineer Supervisor - Monterrey

Primary Location: Nuevo León

Function: Data and Analytics (CA)

John Deere is a foremost leader in the ag equipment business, and we continue to put a solid stamp on other industries. For over 185 years, the company’s portfolio of groundbreaking products has grown to include industries related to and outside of agriculture, including Turf, Construction and Forestry and Wind Technologies. The image of John Deere is no longer that of a signature green tractor meandering across a field; it’s been replaced with an image of acceleration, swift progress, and innovative leaping toward the company’s 200th year. The product line alone serves as proof with advances in machine performance, equipment automation, fleet management, and John Deere’s ongoing investment in emerging markets.

Note: All candidates should have their tax situation certificate (Constancia de Siituación Fiscal) up to date with the salary regime to be eligible for the hiring process.

## Main Responsibilites:

• We are looking for a Data Engineering Supervisor (SG8) for a technical supervisor role that combines hands-on data engineering with team leadership. This person will lead a scrum team of data engineers and data analytics engineers serving the engineering community, while remaining technically hands-on: designing, building, and maintaining data pipelines and large-scale datasets, ensuring data quality and governance, and setting the technical direction and standards for the team. The role also acts as the primary point of contact between the team and partners in the US, and requires strong mentoring and delivery ownership in an Agile environment.
• Lead and manage a scrum team of data engineers while staying hands-on with technical work.
• Act as the technical subject matter expert for data engineering and analytics as it pertains to the assignment.
• Set technical direction, standards, and best practices; review designs and code across the team.
• Mentor and coach team members to build technical capabilities and strong data engineering practices.
• Serve as the point of contact between the team and partners in the US on conversations related to team members and projects.
• Own data initiatives that connect existing datasets and transform data in alignment with analytics needs and governance parameters.
• Design, develop, and maintain scalable data pipelines across distributed computing environments.
• Understand business strategy, objectives, and technology to ensure work is prioritized by business value and aligned with objectives and help the team overcome roadblocks.
• Drive Agile ceremonies and actively participate in sprint rituals.

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## What Skills You Need:

• Experience leading or supervising data engineering teams in a hands-on technical capacity.
• 4+ years of coding experience with SQL, Python, or PySpark.
• Varied database experience with an emphasis on large-scale datasets.
• Data processing experience in a distributed computing environment.
• Experience developing and maintaining data pipelines.
• Experience with file versioning and repository management in Git/GitHub.
• Experience with visualization tools such as Tableau, Power BI, or Databricks.
• trong knowledge of Agile methodology and sprint rituals.
• Ability to work independently and with teams to solve problems, gather requirements, and manage conflicting priorities.
• Strong written and oral communication skills, especially communicating analytical concepts.
• Ability to hold daily, highly technical conversations in English with stakeholders and team members.

## What Makes You Stand Out:

• Hands-on experience using Databricks.
• Experience in advanced modeling using ML and AI.
• Experience with REST APIs to access, use, and modify data.
• AWS certification or working experience in AWS cloud or other cloud technologies.
• Formal education or certification in Systems Engineering principles.
• Agile methodology certification.

## Education:

• Bachelor's or Master's degree in Engineering, Computer Science, Computer Engineering, or equivalent experience in a related career field.

This position will be posted for a minimum of 10 business days and unposted when a qualified pool of candidates is achieved.

Candidates must have the necessary work permits to work in the country.