Responsibilities for Data Engineer at GGG:

- Develop and maintain a robust data platform architecture.

- Design and manage data pipelines through 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 a 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 used in the 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, and 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 models and optimizing OLAP and OLTP databases.

- Familiar with reporting and BI tools like Zeppelin, Superset, and Metabase, with additional proficiency in Power BI is a plus.

- Having a Data Engineer certification from major cloud providers is a plus.

*** Benefits

- 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.