A3Data
A3Data is a Brazilian consultancy company specializing in analytics and artificial intelligence. The company offers a wide range of solutions in AI prototyping, generative AI platforms, and data-driven transformation strategies to help organizations unlock new revenue streams, reduce costs, and enhance operational efficiency. A3Data positions itself as an advanced partner of AWS, showcasing its expertise in AI and data analysis. Their services aim to empower businesses to achieve extraordinary results through data analytics, demonstrating strong capabilities in innovation, digital transformation, and the use of AI in various sectors, including healthcare.
Big Data • Data Analytics • Predictive Analytics • Hadoop Analytics • Business Data Lake
51 - 200 employees
🤖 Artificial Intelligence
Data Engineer
November 10, 2024
A3Data
A3Data is a Brazilian consultancy company specializing in analytics and artificial intelligence. The company offers a wide range of solutions in AI prototyping, generative AI platforms, and data-driven transformation strategies to help organizations unlock new revenue streams, reduce costs, and enhance operational efficiency. A3Data positions itself as an advanced partner of AWS, showcasing its expertise in AI and data analysis. Their services aim to empower businesses to achieve extraordinary results through data analytics, demonstrating strong capabilities in innovation, digital transformation, and the use of AI in various sectors, including healthcare.
Big Data • Data Analytics • Predictive Analytics • Hadoop Analytics • Business Data Lake
51 - 200 employees
🤖 Artificial Intelligence
📋 Description
•Vivência em plataformas em nuvem AWS, Azure ou GCP, ou com as plataformas Hadoop ou Spark. •Experiência com entendimento, importação, higienização e manipulação dos dados. •Criação e implantação de pipeline de dados, e gosta de arquitetura de dados. •Ambiente colaborativo, com desafios diferentes.
🎯 Requirements
•Projetos com metodologia Ágil (Scrum) •Desenvolvimento Phyton, Hive, Shellscript •Banco de dados não relacionais – Hbase, Cassandra, MongoDB •Utilização PySpark, SparkR ou PL/SQL para analise exploratória dos dados •Extração de dados de diversas fontes como API, SFTP, Diretório Mapeado e com banco de dados como SQL e No-SQL •Preparação dos dados para modelagem preditiva e prescritiva •Integração das plataformas de visualização de dados com Cloud
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