Data Engineering Lead

GSI Electronics Inc; Canoas; Híbrido; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading agricultural technology firm is seeking a Data Engineering Lead in Canoas, Brazil. This role involves providing technical leadership to engineering teams, designing scalable data solutions, and ensuring data quality using modern practices on platforms like GCP and Databricks. The successful candidate will collaborate with cross-functional teams to drive innovative data solutions and have a strong background in data engineering and governance. Benefits include medical assistance, private pension, and profit sharing.

Serviços

Medical and dental assistance

Private pension plan

Meal and food vouchers

Pharmacy agreement

Life insurance

Profit sharing and AIP incentive plans

Qualificações

• 5-7+ years in data engineering with at least 2+ years in a technical leadership role.
• Proven experience with GCP and Databricks; strong proficiency in Spark, Python, and SQL.
• Hands-on experience with CI/CD practices and familiarity with Scrum methodologies.

Responsabilidades

• Provide guidance to external engineering teams and ensure quality oversight.
• Design scalable and secure data solutions with architects.
• Develop and maintain data pipelines on Databricks and AWS.
• Ensure data quality and compliance with the Data as a Product approach.
• Collaborate with teams to deliver projects on time using agile methods.

Conhecimentos

Leadership and technical guidance

Data governance

Problem-solving

Collaboration

Communication of complex concepts

Formação académica

Bachelor's or Master's degree in Computer Science or Engineering

Ferramentas

GCP

Databricks

Spark

Python

SQL

AWS

GitHub

Azure DevOps

Descrição da oferta de emprego

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!

We are seeking a Data Engineering Lead with deepexpertisein cloud platforms and modern data engineering practices. This role requires strong technical leadership to guide external engineering teams, support solution architecture decisions, and drive innovation in data solutions. The ideal candidate will ensure high-quality data outcomes across all deliverables and champion best practices aligned with the Data as a Product approach.

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 dentalassistance.

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'sdegree 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; strongproficiencyin Spark, Python, and SQL for data processing. Experience in AWS isa 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 inHybridmodel fromCanoas (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!