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Data engineering lead

Canoas
AGCO Corporation
Anunciada dia 18 dezembro
Descrição

1 day ago Be among the first 25 applicants
Not everyone can claim to feed the world, but it is part of our every day. Behind everything we do for our farmers, there is one AGCO team making it happen. We are proud to put our curiosity into work, building a better and more sustainable world. Join our extraordinary team today!
Your Impact

Technical Leadership: Act as the technical lead for external engineering teams, providing guidance, mentorship, and quality oversight; ensure adherence to best practices in coding, testing, and data governance.
Solution Architecture & Innovation: Collaborate with architects to design scalable, secure, and cost-efficient data solutions; evaluate and introduce new technologies and frameworks to improve performance and reliability.
Data Engineering Excellence: Design, develop, and maintain robust data pipelines and systems on Databricks, GCP, and AWS; implement and manage data storage solutions using Unity Catalog, Databricks Delta Tables, and ZeroETL; optimize Spark, Python, and SQL scripts for large-scale data processing.
Data Quality & Governance: Apply the Data as a Product approach to ensure data quality, usability, and compliance; define and enforce data validation, monitoring, and observability standards.
Collaboration & Delivery: Work closely with cross-functional teams to deliver data enablement projects on time and within scope; contribute to agile development processes and CI/CD pipelines using GitHub and Azure DevOps.

Your Benefits

Medical and dental assistance.
Private pension plan.
Meal and food vouchers.
Pharmacy agreement and life insurance.
Profit Sharing and AIP incentive plans.

Your Experience And Qualifications

Education & Experience: bachelor's or master's degree in computer science, Engineering, or related field; 5-7+ years in data engineering with at least 2+ years in a technical leadership role.
Technical Expertise: Proven experience with GCP, and Databricks; strong proficiency in Spark, Python, and SQL for data processing. Experience in AWS is a plus.
Data & Governance: Solid understanding of data modeling, data architecture, and data governance principles.
DevOps & Agile: Hands-on experience with CI/CD practices, GitHub, Azure DevOps; familiarity with Scrum methodologies and agile delivery.
Leadership & Problem-Solving: Excellent problem-solving skills, strong knowledge of Data Structures and Algorithms, attention to detail, clear communication of complex concepts, and strong leadership with stakeholder management skills.

Your Workplace: You will work with your wonderful AGCO colleagues in Hybrid model from Canoas (Brazil)
We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures, and perspectives.
Join us as we bring agriculture into the future and apply now!
Seniority level

Associate

Employment type

Full-time

Job function

Information Technology

Industries

Machinery Manufacturing and Farming

Referrals increase your chances of interviewing at AGCO Corporation by 2x
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