A3Data
51 - 200 employees
🏥 Healthcare
📦 Logistics
📣 Marketing
Healthcare • Logistics • Marketing
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.
Data Engineer
Job not on LinkedIn
🕒 April 1
🗣️🇧🇷🇵🇹 Portuguese Required
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A3Data
51 - 200 employees
🏥 Healthcare
📦 Logistics
📣 Marketing
Healthcare • Logistics • Marketing
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.
📋 Description
• Create and deploy data pipelines • Work in a collaborative environment • Tackle diverse challenges • Empower people through data
🎯 Requirements
• Experience with cloud platforms AWS, Azure or GCP, or with Hadoop or Spark platforms • Experience in understanding, importing, cleaning and manipulating data • Building and deploying data pipelines • Interest in data architecture • Experience with Agile methodologies (Scrum) • Development in Python, Hive, Shellscript • NoSQL databases – HBase, Cassandra, MongoDB • Use of PySpark, SparkR or PL/SQL for exploratory data analysis • Extracting data from various sources such as APIs, SFTP, mapped directories and databases like SQL and NoSQL • Preparing data for predictive and prescriptive modeling • Integrating data visualization platforms with Cloud
🏖️ Benefits
• Employees can work remotely
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