* Salário: R$ 11.000 a R$ 20.000 por mês (estimado)
* O valor exibido é uma estimativa calculada com base em dados públicos e referências do mercado. Não garantimos que este seja o salário oferecido para esta vaga específica.
Área: Tecnologia da Informação
Nível: Senior
What We’re Looking For
We are seeking a Senior Data Engineer with strong expertise in AWS and Big Data environments to design and implement scalable Data Warehouse and Data Lake solutions. This role is ideal for a hands-on professional who acts as a technical reference within Data Analytics initiatives, contributing to high standards of performance, data quality, and security across the entire data lifecycle.
Key Responsibilities
- Design and implement robust Data Warehouse and Data Lake architectures;
- Define and develop data repository models tailored to various business needs;
- Build and maintain efficient data pipelines for ingestion, transformation, and storage;
- Support and influence architectural decisions across the Big Data ecosystem;
- Ensure secure, reliable, and performant data processes for multiple consumers;
- Identify technical risks and provide recommendations based on support team insights;
- Support performance testing and optimization initiatives;
- Contribute to the migration of legacy systems to modern cloud-based solutions.
Required Skills & Experience
Must-Haves:
- Hadoop, Spark (PySpark, Scala): Intermediate to advanced
- Python for Data Engineering: Advanced
- SQL: Advanced
- Git / GitFlow workflows: Intermediate
- AWS (CloudFormation, IAM, Lambda, SQS, Athena, EMR), Unix: Intermediate
- DevOps/CI-CD tools (JIRA, GitLab, GitLab CI, NEXUS, SonarQube): Basic
Nice to Have:
- Experience with Apache Airflow and Docker