Key Facts

Remote From:

Brazil

Category: Data Engineer

Full time

Senior (5-10 years)

Portuguese

Hard Skills

Amazon Web Services AWS Glue SQL (Programming Language) Data Lakes Amazon S3 Amazon Athena Amazon Redshift AWS Identity And Access Management (IAM) Amazon CloudWatch CI/CD +10 more

Other Skills

•
Collaboration
•
Communication
•
Teamwork
•
Problem Solving

Roles & Responsibilities

Solid experience in data engineering within AWS environments
Proficiency with Amazon EMR, AWS Glue, and AWS Step Functions
Hands-on experience developing large-scale data pipelines
Strong knowledge of Data Lakehouse architectures using S3, AWS Glue Data Catalog, Athena, and/or Redshift

Requirements:

Technical implementation of data products, translating discovery and mapping definitions into tangible solutions
Build, evolve, maintain, and operate data pipelines and products in an AWS environment
Develop scalable, secure solutions aligned with data architecture and governance standards
Collaborate with business, analytics, and engineering teams to define and evolve data solutions, ensuring performance, observability, and delivery quality

Compass.uol

About Compass.uol

Compasso UOL is a Brazilian technology company owned by the UOL Group, which offers technology services, and provides state-of-the-art solutions, contributing to the digital transformation of its customers so they can become leaders in its sectors of activity. Compasso UOL is a company that cultivates people's talent and use state-of-the-art technologies such as Agile Development, Multicloud, Data&Analytics, Cyber Security, Artificial Intelligence/Machine Learning, APIs/Microservices, IoT and others, providing technology and knowledge that help customers in building digital solutions that enable the transformation and evolution of their business.

Company type: XLarge

Founded: 2018

Company size: 5001 - 10000

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Job description

JOB DESCRIPTION

RESPONSIBILITIES AND ASSIGNMENTS

Responsável pela implementação técnica dos produtos de dados, materializando as definições realizadas nas etapas de discovery e mapeamento;
Atuação na construção, evolução, sustentação e operação de pipelines e produtos de dados em ambiente AWS;
Desenvolvimento de soluções escaláveis, seguras e aderentes aos padrões arquiteturais e de governança de dados;
Participação na pavimentação da arquitetura de dados, garantindo performance, observabilidade e qualidade das entregas;
Colaboração com times de negócio, analytics e engenharia para definição e evolução das soluções de dados.

REQUIREMENTS AND QUALIFICATIONS

Experiência sólida com engenharia de dados em ambientes AWS;
Domínio de Amazon EMR, AWS Glue e AWS Step Functions;
Experiência prática com desenvolvimento de pipelines de dados em larga escala;
Conhecimento avançado em PySpark e SQL;
Vivência com arquiteturas Data Lakehouse utilizando S3, Glue Catalog, Athena e/ou Redshift;
Conhecimento em segurança e monitoramento na AWS (IAM, CloudWatch);
Experiência com GitHub e GitHub Actions para versionamento, CI/CD e automação de deploys;
Vivência com práticas de DataOps.

Become a Compasser, be part of AI/R.

Compass UOL is a global firm and part of the AI Revolution Company, together transforming organizations using Artificial Intelligence, Generative AI, and other of today’s most advanced technologies.

We equip our team with proprietary and external AI-driven tools to design and build digital-native platforms, integrating cutting-edge technologies and enabling companies to innovate, transform their businesses, and drive success in their markets.

To achieve this, we attract and develop the best talent, creating opportunities that enhance people’s lives and highlight the positive impact of disruptive technologies.

We empower borderless talent and promote knowledge and opportunities in the latest market trends, driving significant personal and professional growth.

Join us and be part of the AI-driven revolution.

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