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Python jobs in Brazil

Data Engineering Lead

AGCO

Canoas
Hybrid
BRL 120,000 - 160,000
7 days ago
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Software Engineer, RCM (Brazil)

Athelas

São Paulo
Remote
BRL 163,000 - 274,000
7 days ago
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Engenheiro (a) de Dados Cloud Pleno

EY

Salvador
On-site
BRL 20,000 - 80,000
7 days ago
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Analista de Dados Sr (Performance) – PRIO – Rio de Janeiro

PRIO

Rio de Janeiro
On-site
BRL 80,000 - 120,000
7 days ago
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Security Engineer (Pentest)

CloudWalk

São Paulo
On-site
BRL 60,000 - 100,000
7 days ago
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Assistente de Crédito (exclusiva para PcD)

Syngenta Seeds

São Paulo
On-site
BRL 20,000 - 80,000
7 days ago
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AWS Cloud Architect - 129688 INT

GFT Group

Barueri
Hybrid
BRL 120,000 - 160,000
7 days ago
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Assistente de Crédito (exclusiva para PcD)

Syngenta

São Paulo
Hybrid
BRL 20,000 - 80,000
7 days ago
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Governança de Dados Sr.

Kount

Barueri
Hybrid
BRL 80,000 - 120,000
7 days ago
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Assistente de Crédito (exclusiva para PcD)

Syngenta Crop Protection

São Paulo
On-site
BRL 20,000 - 80,000
7 days ago
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IT Analyst ll (Engenheiro de Dados)

Santander

São Paulo
Hybrid
BRL 20,000 - 80,000
7 days ago
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Analista De Controladoria E Dados (Pj)

Bry Tecnologia

Florianópolis
On-site
BRL 80,000 - 120,000
7 days ago
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Desenvolvedor Rpa Senior

Better Now Tecnologia

São Paulo
On-site
BRL 80,000 - 120,000
7 days ago
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Manager, Data Science São Paulo,São Paulo,Bra Global Information Systems (20000018) Posted 5 Ho[...]

Whirlpool, Inc.

São Paulo
Hybrid
BRL 120,000 - 160,000
7 days ago
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Senior Data Engineer

Breakthrough Talent

Ponta Grossa
On-site
BRL 80,000 - 120,000
7 days ago
Be an early applicant

Fpga Engineer (Brazil) | Engenheiro(A) De Fpga (Brasil)

Grass Valley

Hortolândia
Hybrid
BRL 80,000 - 120,000
7 days ago
Be an early applicant

Fpga Engineer (Brazil) | Engenheiro(A) De Fpga (Brasil)

Grass Valley

Florianópolis
Remote
BRL 120,000 - 160,000
7 days ago
Be an early applicant

10104805 - Desenvolvedor Full Stack Sênior

MTP Métodos e Tecnologia – Brasil

São Paulo
Hybrid
BRL 80,000 - 120,000
7 days ago
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Arquiteto de Redes e Segurança

Gmud Tecnologia

São Paulo
On-site
BRL 80,000 - 120,000
7 days ago
Be an early applicant

Analista Sistemas de Faturamento PL | Automação Dados e Cloud

Vivo Digital

São Paulo
Hybrid
BRL 20,000 - 80,000
7 days ago
Be an early applicant

Data Engineer

Tata Consultancy Services

Primavera do Leste
On-site
BRL 80,000 - 120,000
7 days ago
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Senior Data Engineer

Breakthrough Talent

Varginha
Remote
BRL 80,000 - 120,000
7 days ago
Be an early applicant

Fpga Engineer (Brazil) | Engenheiro(A) De Fpga (Brasil)

Grass Valley

Poços de Caldas
Remote
BRL 80,000 - 120,000
7 days ago
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Data Engineer (Aws Glue) - Work From Home - Talent Connection

Nearsure

Campo Grande
Remote
BRL 80,000 - 120,000
7 days ago
Be an early applicant

Senior Data Engineer

Breakthrough Talent

Imperatriz
On-site
BRL 180,000 - 240,000
7 days ago
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Top job titles:

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Similar jobs:

Python Junior jobsDesenvolvedor Python jobs
Data Engineering Lead
AGCO
Canoas
Hybrid
BRL 120,000 - 160,000
Full time
7 days ago
Be an early applicant

Job summary

A global agricultural technology leader in Canoas is seeking a Data Engineering Lead to provide technical leadership and innovate data solutions. The ideal candidate will have extensive experience in data engineering, including GCP and Databricks, and will be responsible for maintaining data pipelines and ensuring data quality. This role offers a hybrid work model and a commitment to inclusivity and diverse perspectives within the team.

Benefits

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

Qualifications

  • 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.
  • Solid understanding of data modeling, architecture, and governance principles.

Responsibilities

  • Act as the technical lead for external engineering teams, ensuring best practices.
  • Design scalable data solutions and evaluate new technologies.
  • Maintain data pipelines and systems on Databricks, GCP, AWS.

Skills

Data processing with Spark, Python, SQL
Technical leadership
Data governance principles
Collaboration in cross-functional teams
CI/CD practices

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

GCP
Databricks
AWS
GitHub
Azure DevOps
Job description
Data Engineering Lead

Location:
Canoas, RS, BR

Workplace Type: Hybrid/Remote

Not everyone can claim to feed the world, but it is part of our everyday. 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.

Medical and dental assistance.

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).

Values and Inclusion

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!

Job Segment: Solution Architect, Sustainable Agriculture, SQL, Database, Data Modeler, Technology, Agriculture, Data

AGCO is a global leader in design, manufacture and distribution of agricultural machinery and precision technology. AGCO delivers value to farmers and OEM customers through its differentiated brand portfolio including leading brands like Fendt®, Massey Ferguson®, PTx and Valtra®. AGCO's full line of equipment, smart farming solutions and services helps farmers sustainably feed our world.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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