
A Lojas Quero-Quero nasceu em 1967, na cidade de Santo Cristo, interior do RS, como uma pequena empresa de comĂ©rcio e representaçÔes. Na Ă©poca, seu capital era formado apenas pela coragem e por uma profunda paixĂŁo pela alma gaĂșcha que deu nome ao estabelecimento, alĂ©m da crença no trabalho duro e um espĂrito muito forte de empreendedorismo.
5001 - 10000 employees
Founded 1967
October 28
đŁïžđ§đ·đ”đč Portuguese Required

A Lojas Quero-Quero nasceu em 1967, na cidade de Santo Cristo, interior do RS, como uma pequena empresa de comĂ©rcio e representaçÔes. Na Ă©poca, seu capital era formado apenas pela coragem e por uma profunda paixĂŁo pela alma gaĂșcha que deu nome ao estabelecimento, alĂ©m da crença no trabalho duro e um espĂrito muito forte de empreendedorismo.
5001 - 10000 employees
Founded 1967
âą This position is part of the Data Engineering team, responsible for creating, maintaining, and optimizing data pipelines, ensuring the integrity, availability, and quality of information used for analyses and reports that support decision-making across the company's business areas. âą On a day-to-day basis, you will work with other areas of the company, understanding business challenges and proposing solutions based on data, analysis, and automation. âą You will interact with professionals at various levels, from analysts to directors, where clear and concise communication will be essential. âą You will also need to clarify exact requirements to the technical IT team so that the bridge between the business and system data is established efficiently and accurately.
âą Good communication, teamwork, and analytical skills; âą Programming experience, preferably with Python and Spark; âą Knowledge of SQL and data modeling, preferably with Oracle, Postgres, or SQL Server; âą Degree in Computer Science, Business Administration, Statistics, Economics, Engineering, or a related field. âą Considered a plus: knowledge of Microsoft Azure; âą Microsoft Fabric; âą Knowledge of dimensional modeling; âą Experience with Big Data, Data Warehousing, or Data Lake; âą Experience with ETL processes; âą Postgraduate degree/MBA in Data Engineering.
âą Remote work
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