Key Facts

Remote From:

Brazil

Category: Data Scientist

Full time

Senior (5-10 years)

Portuguese

Hard Skills

Feature Engineering Apache Spark Apache Iceberg Redis Amazon Web Services Data Lineage Mload DataHub (Software) Technical Leadership Quality Assessment

Roles & Responsibilities

Proven expertise in feature engineering on corporate ML platforms (Feast, Tecton, Hopsworks or equivalents)
Advanced proficiency in Apache Spark / PySpark for large-scale distributed processing
Deep knowledge of Apache Iceberg and lakehouse architectures (comparison with Delta Lake and Hudi)
Expertise in Redis for low-latency feature serving, including cache invalidation strategies and efficient serialization

Requirements:

Lead the development and evolution of Feature Store capabilities: data lineage, feature views, feature recommendation, and new query engines
Design and implement Apache Iceberg tables focused on read performance, versioning, and schema evolution
Architect and optimize the serving layer with Redis for real-time features with strict latency SLOs
Integrate and optimize Amazon EMR as a query engine and processing at scale

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

Liderar o desenvolvimento e evolução das capacidades da Feature Store: data lineage, feature views, feature recommendation e novos motores de consulta;
Projetar e implementar tabelas Apache Iceberg com foco em performance de leitura, versionamento e evolução de schema;
Arquitetar e otimizar a camada de serving com Redis para features em tempo real com SLOs rigorosos de latência;
Integrar e otimizar Amazon EMR como motor de consulta e processamento em escala;
Definir e implementar pipelines de feature selection e transformação com rastreabilidade end-to-end;
Estabelecer padrões de qualidade, versionamento e governança de features para toda a plataforma;
Atuar como referência técnica para times de dados e ciência que consomem a Feature Store.

REQUIREMENTS AND QUALIFICATIONS

Expertise comprovada em engenharia de features em plataformas de ML corporativas (Feast, Tecton, Hopsworks ou equivalentes)
Domínio avançado de Apache Spark / PySpark para processamento distribuído em escala
Profundo conhecimento de Apache Iceberg e arquiteturas lakehouse (comparativo com Delta Lake e Hudi)
Expertise em Redis para feature serving em baixa latência, incluindo estratégias de cache invalidation e serialização eficiente
Experiência sólida com AWS e seus serviços de dados em produção (S3, Glue, EMR, Redshift, Athena)

Desejáveis:

Domínio de data lineage e catálogos de metadados (DataHub, OpenMetadata, Marquez) em produção;
Experiência com Amazon EMR: configuração, otimização de clusters e tuning de jobs Spark;
Expertise em práticas de MLOps com foco em versionamento e rastreabilidade de artefatos de dados;
Atuação anterior em contexto financeiro com dados de alta cardinalidade, alta frequência e requisitos regulatórios;
Conhecimento de ferramentas de qualidade de dados em escala (Great Expectations, Soda, dbt tests).

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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