Match score not available

AWS/Snowflake Data Engineer | Senior

Remote: 
Full Remote
Contract: 
Work from: 

Offer summary

Qualifications:

Experience with AWS tools and technologies such as Amazon S3, Apache Airflow, Apache Kafka, DBT, Kubernetes, and Snowflake., Strong knowledge of data migration and workloads between different platforms., Experience in data orchestration and automation using Apache Airflow and DBT., Familiarity with DevSecOps practices and data security in environments..

Key responsabilities:

  • Develop and maintain scalable and robust data pipelines in the AWS environment.
  • Perform secure and efficient migration of large volumes of data and workloads from GCP and On-Premise to AWS.
  • Create automated scripts and processes for orchestration, transformation, and validation of migrated data.
  • Continuously monitor the performance of data pipelines and ensure adherence to DevSecOps best practices.

Compass.uol logo
Compass.uol XLarge
5001 - 10000 Employees
See all jobs

Job description

JOB DESCRIPTION

.


RESPONSIBILITIES AND ASSIGNMENTS


  • Desenvolver e manter pipelines de dados escaláveis e robustos no ambiente AWS, utilizando ferramentas como Amazon S3, Apache Airflow, Apache Kafka, DBT, Kubernetes e Snowflake;
  • Realizar a migração segura e eficiente de grandes volumes de dados e workloads de GCP e OnPremise para AWS;
  • Criar scripts e processos automatizados para orquestração, transformação e validação dos dados migrados;
  • Monitorar continuamente a performance dos pipelines de dados;
  • Garantir a adoção das melhores práticas de DevSecOps na infraestrutura e no fluxo de dados, promovendo a segurança em todas as etapas.

REQUIREMENTS AND QUALIFICATIONS


  • Experiência com ferramentas e tecnologias em ambiente AWS, incluindo Amazon S3, Apache Airflow, Apache Kafka, DBT, Kubernetes e Snowflake;
  • Sólidos conhecimentos de migração de dados e workloads entre diferentes plataformas;
  • Experiência com orquestração de dados e automação utilizando Apache Airflow e DBT;
  • Conhecimentos em monitoramento e otimização de performance de pipelines de dados;
  • Conhecimento das práticas de DevSecOps e segurança em ambientes 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


#remote

"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

Spoken language(s):
Portuguese
Check out the description to know which languages are mandatory.

Data Engineer Related jobs