Data Engineer
November 10
Description
• Develop and improve services to load, transform and consume data, employing cutting edge technologies and the best tools available in the market; • Interact with data science and operations PMs to keep a deep understanding of their business needs and support projects that rely on data infrastructure; • A constant pursuit for improvements in aspects like scalability, resource-efficiency, latency and flexibility for our data services;
Requirements
• Sound knowledge of data manipulation programming, particularly Python; • Experience as software engineer in Datawarehouse / ETL projects; • Experience with data visualization tools (Tableau, Metabase, Power BI); • A product mindset, in which engineering costs are measured against the benefits to our product; • Sound knowledge in relational and non-relational databases (PostgreSQL, MongoDB); • Experience in technologies like Kafka, Cassandra, Airflow and Spark;
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