Data Analysis
- Develop and maintain robust data platform architecture. - Design and manage data pipelines in accordance with the data engineering lifecycle. - Extract large, complex data sets that fulfill both functional and non-functional business requirements. - Identify, design, and implement internal process enhancements, including automating manual tasks, optimizing data delivery, and redesigning infrastructure for improved scalability. - Construct the necessary infrastructure for optimal ETL pipelines from diverse data sources using Python, SQL, and big data technologies; Java is a plus - Develop analytics tools that leverage the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. - Create data tools for analytics and data science teams to support the development and optimization of our product, aiming to position it as an innovative industry leader. - Collaborate with stakeholders across Executive, Marketing, Accounting, Finance, and other teams to address data-related technical issues and support their data infrastructure needs. - Partner with data scientists and analysts to enhance the functionality of our data systems.
Qualifications for Data Engineer at GGG - 3+ years of experience in a Data Engineer role. - Having a degree in Computer Science, Information Systems, Software Engineering or another related field. - Wide knowledge about software products using in F&B field is a plus - Having a degree in Statistics, Informatics is a plus Should also have experience using most of the following software/tools/platforms: - Proficient in programming languages such as Python, Scala, Java ... - Extensive SQL expertise, with hands-on experience in both relational SQL and NoSQL databases, including SQL Server, MySQL, PostgreSQL, MongoDB, among others. - Skilled in data builder and workflow orchestration tools such as Airflow and DBT. - Experienced with big data technologies, including Hadoop Yarn, Hive, Spark, Presto (Trino), Kafka and others. - Skilled in designing dimensional data model and optimizing OLAP and OLTP database. - Familiar with reporting and BI tools like Zeppelin, Superset, Metabase, with additional proficiency in PowerBI is a plus. - Having Data Engineer certification from major cloud providers is a plus.
- Competitive salary + bonus + 13th month salary,... - Training courses to improve skills and professionalism. - Opportunity to work in a professional environment, a leading F&B corporation in Vietnam. - Young, dynamic, creative, fair and disciplined working environment.
- Prioritize candidates who can onboard as soon as possible