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.
