Analytics Data Engineer - Saltillo, México - John Deere
Descripción
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 175-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:
Analytics Data Engineer
Primary Location:
Mexico (MX) - Nuevo León JD Shared Svcs-Monterrey
Function:
Data & 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 150 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.
Main Responsabilities:
- Work with stakeholders defining data requirements and identifying data for integration.
- Work in an Agile environment, actively participating in sprint rituals (Standup, Retro, Refinement, Planning, Demo) as well as team pairprogramming activities.
- Create documentation to ensure smooth transition of data engineering work to production.
What Skills You Need:
- 2+ years of experience in software design and development using both serverside (Python/Java) and client side (React, Angular, Java Script, jQuery, HTML5) scripting languages
- 2+ years of experience in database design and development in both relational database (MS-SQL Server, Oracle) and NoSQL database (MongoDB, Cassandra, Solr, Elasticsearch, DynamoDB, DB2)
- Ability to work independently and with teams to solve problems, gather requirements and manage conflicting priorities.
- Ability to present and teach technical information to audiences with limited technical backgrounds.
What Makes You Stand Out:
- Experience in data processing in the Apache ecosystem (Spark, Avro, Hadoop, Kafka) with a preference toward systems in the AWS cloud environment.
- Experience working with the EDL and dataset management in Databricks
- Experience with traditional and/or modern ETL tools
- Experience developing and implementing data pipelines
- Experience working with CI/CD orchestration and tools
- Experience with file versioning and repository management in Git/GitHub
- Formal education or certification in Systems Engineering principles
Education:
Bachelor's or Master's degree in Computer Science, Computer Engineering or equivalent experience in a related career field.
Inclusive Leadership feed the Worlds
The World is counting on us to feed billions of people and build vital infrastructure in villages, towns, and megacities.
That ́s why we celebrate diversity, champion equity, and promote inclusiveness so every employee can make the greatest impact as their true self.
At John Deere, you are empowered to create a career that will take you to where you want to go.
Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement.
John Deere-a proven business leader- watch your potential grow.
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