Responsibilities for Data Engineer at GGG:

• 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.

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.