Data Engineer responsible for building reliable ETL/ELT workflows using Azure and Python. Collaborating with teams to deliver clean, structured data and modernize cloud platforms.
About the role
- Data Engineer responsible for developing, maintaining, and supporting data pipelines. Collaborating with business areas to ensure data quality and architecture improvements.
Responsibilities
- Structure, develop, and maintain data pipelines in a production environment;
- Collaborate with business areas to understand requests and translate requirements into technical data solutions;
- Ensure the quality, reliability, and availability of information across all data layers;
- Support the evolution of data architecture, following engineering best practices and defined standards;
- Contribute to continuous improvements in data processes and solutions.
Requirements
- Proven experience as a Data Engineer.
- Strong communication and instructional skills, with the ability to translate business needs into technical solutions.
- Solid knowledge of AWS, especially data services and infrastructure.
- Experience with Apache Airflow for orchestrating data pipelines.
- Experience working in production environments with a focus on reliability and performance.
Benefits
- Multi-benefit card – choose how and where to use it.
- Education grants for undergraduate, graduate, MBA and language courses.
- Certification incentive programs.
- Flexible working hours.
- Competitive salaries.
- Annual performance review with a structured career path.
- Possibility of international career opportunities.
- Wellhub and TotalPass.
- Private pension plan.
- Childcare assistance.
- Health insurance.
- Dental insurance.
- Life insurance.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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