Vagas Python

Senior Data Engineer

Ria Money Transfer

Local
Brasil
Senioridade
Sênior
Publicada
(horário de Brasília)
Fonte
LinkedIn

Candidatar-se no site original (LinkedIn) nenhum clique aindaQuantas vezes alguém abriu o anúncio original a partir do Vagas Python desde que a vaga entrou no site. Dá uma noção da concorrência, mas não inclui quem viu a vaga direto na fonte (LinkedIn, Gupy...), e a mesma pessoa pode contar mais de uma vez.

Descrição

We're Hiring! | Data Engineer
📍 Brazil | Ria Money Transfer
Build the data infrastructure that powers global innovation!
At Ria Money Transfer, we're looking for an experienced Data Engineer to join our growing Data team.
You'll help build and optimize a cloud-based data ecosystem supporting 280 million annual visitors across our web and app platforms. This is an exciting opportunity to work with modern AWS technologies, develop scalable data pipelines, and transform complex data into valuable business insights.
🚀 What You'll Do
• Design, develop, and maintain scalable data pipelines and API services using Python.
• Build ETL and real-time data processing solutions using AWS Glue, Lambda, ECS, Kinesis, and Firehose.
• Manage data lakes and datasets across AWS S3, Athena, RDS PostgreSQL, and DynamoDB.
• Develop data models for structured and unstructured data.
• Implement data extraction and processing workflows using OCR and LLM-based technologies.
• Monitor and optimize data infrastructure using CloudWatch, Grafana, and Datadog.
• Apply CI/CD, Infrastructure as Code, and cloud security best practices.
• Collaborate with Data Scientists, ML Engineers, and System Engineers.

💻 What We're Looking For
• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• 3+ years of professional experience in Data Engineering.
• Strong Python and SQL skills.
• Hands-on experience with AWS services, including S3, Glue, Lambda, Athena, RDS Aurora PostgreSQL, DynamoDB, and ECS.
• Experience building and optimizing ETL and data pipelines.
• Familiarity with GitHub, Docker, Docker Compose, Terraform, and CI/CD.
• Knowledge of data warehousing and structured/unstructured data.
• Experience with OCR or LLM-based document processing is a plus.
• Strong communication and collaboration skills.

Nice to Have: PySpark experience and knowledge of data privacy, security, and regulatory standards.
🎁 Perks & Benefits
• Medical and dental coverage.
• Life insurance.
• Daily food allowance (R$ 48/day).
• Commuter subsidy for office-based employees.
• Corporate phone.
• Work-from-home opportunities.
• Language learning support.
• Fitness and wellness subsidy (Wellhub/Gympass).

🌎 Why Ria Money Transfer?
Join an international organization where technology, innovation, and collaboration help connect people around the world.
Learn more about us: https://www.riamoneytransfer.com/
Ria Money Transfer is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Vagas parecidas

Mais vagas Python · Todas as vagas abertas