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.
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