* Salário: R$ 3.000 a R$ 6.000 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: Junior
Detalhes da vaga
- Tempo integral
Qualificações
- Spring Boot
- Azure
- Data Lake
- Relational databases
- Big Data
- Git
- Inglês
- Java
- Banco de Dados
- SQL
- Desenvolvimento de Software
- ETL
- Data warehouse
Descrição completa da vaga
About Confidencial (Apenas para Cadastrados) LLC
Confidencial (Apenas para Cadastrados) is a fast-growing provider of custom software development and technology consulting. We help Fortune 500 organizations streamline operations, integrate systems, and build tailored digital tools to solve real business problems.
We are seeking a skilled and motivated professional to join our team as a Data Engineer, mainly working with java spring boot in data engineering projects, relational databases and big data technologies. You will be involved in a variety of tasks using modern technologies across the big data engineering and backend.
*Opportunity available only for Latin American residents*
Responsibilities:
- Design, develop, and maintain data ingestion pipelines using ETL processes.
- Implement data models and database schemas to ensure efficient and optimized storage of data.
- Write SQL queries to extract, transform, and load data from various sources.
- Collaborate with cross-functional teams to gather data requirements and provide data-driven solutions.
- Perform data analysis and validation to ensure data quality and integrity.
- Develop and maintain data integration workflows and automate data processes.
- Monitor and optimize data pipelines for performance and scalability.
- Implement data governance and security practices to ensure data privacy and compliance.
Requirements:
- Professional experience with Java Spring Boot in data engineering projects.
- Professional experience with SQL.
- Experience with Azure, Databricks and Datalake.
- Experience with Kubernetes.
- Experience with GIT.
- Professional experience operating data pipelines, including data quality process and error handling.
- Advanced English to talk directly with our international stakeholders.
- Ability to work as a team.
- High adaptability and problem-solving.
Additional Information:
- Flexible work environment.
- Periodic feedback aiming at people development and career growth.
- International travel opportunities.
- Remote work.
Job Types: Full-time, Contract
Application Question(s):
- Do you have professional experience operating data pipelines? Including data quality process and error handling.
Experience:
- professional SQL: 1 year (Required)
- datalake and data warehouse: 1 year (Preferred)
- java in data engineering: 1 year (Preferred)
Language:
- Advanced English (Required)
Work Location: Remote