Vaga: Vaga de Desenvolvedor de Sistemas em Londrina/PR - home office
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Cargo/Função: Desenvolvedor de Sistemas
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Localização: Londrina / PR
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Salário: a combinar
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Empresa: Confidencial O que é isso?
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Home Office
Descrição Geral
Empresa localizada na cidade de Londrina/PR do ramo Informática, contrata Desenvolvedor de Sistemas.
Atribuições
At gympass (permanent), in portugalsalary: 55.000 - 64.000expires at:(Informação Confidencial)remote policy: full remotethe opportunitywe are hiring a senior analytics engineer to our data team in portugal!Join our growing data team at gympass and contribute to our data democratization mission - Make data accessible to are responsible for empowering all teams by providing a scalable and reliable data platform to collect, organize and process the deluge of data generated daily at gympass, following data modeling and governance best practices. Your work will directly impact our goal of enabling all teams to make data-Driven decisions and generate business value from impactdevelop and maintain data models and structures that enable efficient querying and analysisdesign, develop, and maintain data pipelines to transform and process large volumes of data from various sources, while adding business context and semantics to the dataimplement automated data quality checks to guarantee data quality and consistency across the whole data life requirementswho you arebachelors degree in computer science or equivalent professional experienceexperience in design, develop, and maintain data pipelines to transform and process large volumes of data from various sources, while adding business context and semantics to the dataexperience creating robust and scalable data models from business requirementsexperience working collaboratively to collect, prepare, and analyze complex business dataproficient in sql and pythonknowledge of data modeling techniques (data warehousing, slowly changing dimensions, lakehouse)knowledge of business and technology metrics/kpis (churn, revenue, ctr)knowledge of scheduling tools and workflow orchestrators (e.G. Airflow)experienced with data integration techniques (reprocessing, backfill, partitioning)automated data quality checks and consistencygreat communication skills and advanced level of to havenice to haveexperience with datalakes architecture and f
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