SAS | AWS | Spark Data Engineer | Mid/Senior

Work set-up: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Experience with migrating SAS routines and understanding legacy environments., Strong knowledge of Python and Spark for data pipeline development., Proficiency with AWS services such as Glue, S3, Lambda, and Athena., Familiarity with task orchestration tools like Control-M and infrastructure as code with Terraform..

Key responsibilities:

  • Migrate legacy SAS routines to a modern Data Mesh ecosystem, focusing on modernization and data governance.
  • Analyze existing batch processes and dependencies using Control-M.
  • Develop and deploy Spark-based data pipelines using AWS Glue, ensuring adherence to technical standards.
  • Collaborate in an agile environment to ensure stable and scalable data solutions.

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Compass.uol XLarge
5001 - 10000 Employees
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Job description

JOB DESCRIPTION

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RESPONSIBILITIES AND ASSIGNMENTS

  • Conduzir a migração de rotinas SAS legadas para o novo ecossistema Data Mesh, com foco em modernização, padronização e governança de dados;
  • Compreender a malha batch existente via Control-M, analisando dependências, componentes SAS e estruturas de dados envolvidas;
  • Realizar a transpilação dos códigos SAS para Spark, utilizando AWS Glue e garantindo aderência aos padrões técnicos do Mesh;
  • Criar e configurar ambientes de origem e destino (buckets S3, schemas, conexões), assegurando o fluxo completo dos dados na AWS;
  • Desenvolver Glue Jobs robustos, parametrizados e com testes unitários, promovendo estabilidade e escalabilidade nas entregas;
  • Executar processos em produção, documentar fluxos e apoiar o repasse para sustentação;
  • Trabalhar de forma colaborativa em ambiente ágil, promovendo boas práticas de engenharia e integração contínua.

REQUIREMENTS AND QUALIFICATIONS

  • Experiência com migração de rotinas SAS e entendimento de ambientes legacy;
  • Sólido conhecimento em Python e Spark, com foco em desenvolvimento de pipelines de dados;
  • Profundo conhecimento com AWS Glue, S3, Lambda, Step Functions e Athena;
  • Familiaridade com orquestração de tarefas com Control-M;
  • Experiência com versionamento (Git/GitHub) e ambiente Linux;
  • Conhecimento de Terraform para infraestrutura como código (IaC);
  • Capacidade analítica para entendimento de código legado e adaptação aos novos padrões do Data Mesh;
  • Desejável: experiência com testes automatizados e boas práticas de engenharia de dados.







Não possui todos os requisitos para a vaga?


Está tudo bem! Na Compass UOL, estimulamos o desenvolvimento contínuo de novos talentos e transformamos desafios em oportunidades.


ADDITIONAL INFORMATION


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"remote"


DREAM BIG WHEN IT COMES TO TECHNOLOGY. BE A COMPASSER! 🚀

Compass UOL is a global company that is part of AI/R, which drives the transformation of organizations through Artificial Intelligence, Generative AI, and Digital Technologies.


We design and build digitally native platforms using cutting-edge technologies to help companies innovate, transform businesses, and drive success in their markets. With a focus on attracting and developing the best talent, we create opportunities that improve lives and highlight the positive impact of disruptive technologies on society.


That's why our selection process goes beyond technical skills. Our goal is to find unique individuals with the potential to make an extraordinary impact on our clients.


We empower talent without borders and promote knowledge and opportunities in the latest market trends, driving significant results.


Join us and be part of the AI-driven digital revolution in the technology universe.


HOW OUR SELECTION PROCESS WORKS

1. ONLINE APPLICATION
Choose the opportunity that best fits your goals. Remember: having a well-detailed profile with your experiences and knowledge can make all the difference!
2. INTERVIEWS
Learn about our culture and company! During interviews, be present and do your best to share your expertise in a chronological and structured way.
3. EVALUATION
Our tests and assessments focus on finding talent with the cultural and technical fit for the position applied for.
4. FEEDBACK

Wait for our response regardless of the result! We have Gupy platform feedback certification.


Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
Portuguese
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Analytical Skills

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