- As a Data Engineer, you are a dynamic and multifaceted person, with a combination of technical skills, analytical thinking and strong communication capabilities. You will be working in a multitalented team and your daily activities will include:
- Create and maintain data pipelines, from ETLs to streaming;
- Maintain data platforms;
- Produce Data Science pipelines and models in robust projects;
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Leverage produced data for consumption (e.g. via REST APIs).
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You are an amazing professional, with a degree in Computer Science (or a related field), 3+ years of experience as a Data Engineer, comfortable with agile workflows such as Scrum or Kanban and experience in working directly with business teams.
- Technical skills:
- Big Data platforms (Azure, Databricks);
- Streaming tools (Kafka);
- Strong SQL knowledge (Postgres, Hive, Impala, Spark SQL);
- Pipeline development using Spark (Scala, Python);
- Strong knowledge of Business Intelligence and ETL tools;
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Knowledge of cloud platform management it's a plus.
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Motivated by challenges and new experiences;
- Communicative, with a willingness to work in a team;
- Interest in the business vision;
- Curious and agile;
- Able to translate business requirements into technical solutions;
- Critical and analytical spirit.
Prozis Tech division is focused on the development and continuous improvement of software products to support Prozis operation and strategy. This is a young and motivated team, determined to make things happen. We need you to help us in this world domination tour.
A candidatura é feita diretamente no site da empresa — sem intermediários, sem black boxes.
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