Data Engineer
Requirements Bachelorʼs or Masterʼs degree in Computer Science, Information Technology, or a related field. Proven experience as a Data Engineer or in a similar role. Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL and NoSQL databases (e.g., MongoDB, Cassandra). Basic understanding of AWS cloud technology (e.g., S3, Glue, Athena) and data warehousing solutions (e.g., Snowflake). Proficiency in Python for data manipulation and automation. Familiarity with Pandas or other Python-based ETL tools. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Ability to work in a fast-paced environment and manage multiple priorities. About Botrista Botrista leads the charge in transforming the food and beverage(F&B) industry with our expertise in automated beverages for foodservice operators. Specializing in cutting-edge automation products, we seamlessly integrate self-developed cloud-based IoT devices with an advanced cloud management platform, redefining the landscape of F&B industry. By leveraging cloud-based big data and IoT technologies, we are not just redefining the food technology industry but also establishing an entirely new business model. Join us in shaping the complete AIoT ecosystem that is set to make a global impact in the food and beverage market! www.botrista.com Responsibilities Design, develop, and maintain scalable data pipelines to support data processing and integration. Collaborate with BotristaPro platform engineers, analysts, and other stakeholders across different functional teams to understand data requirements and translate them into technical solutions. Implement and optimize ETL(Extract, Transform, Load) processes to ensure efficient data flow, using tools such as Apache NiFi, Talend, or Informatica. Develop and maintain data models, data lakes, and data warehouses to support business intelligence and analytics needs. Monitor and troubleshoot data pipelines to ensure data quality, consistency, and availability. Implement data governance and security measures to protect sensitive information. Utilize AWS cloud platforms (e.g., S3, Glue, Athena) for data storage, processing, and analysis. Continuously improve and innovate data infrastructure by researching and applying new technologies and best practices. Document data processes, technical specifications, and metadata for easy reference and knowledge sharing.公司地址:
台北市中正區忠孝東路一段9號8樓其他:
None-2025-01-14