Lixibox is a full- stack one- stop omni- channel solution for luxury affordable brands to reach GenZ consumers in Vietnam, one of the fastest growing regions in the world. We focus on optimizing operation by leveraging an in- house agency and the in- house technology solutions to bring the most effective brand launching that would benefit the end consumers.
Line report: Senior Data Scientist
Working Location: 16th, 34 Road, Tran Nao Street, An Khanh Ward, Thu Duc City, HCMC.
Team: Tech
We are seeking a highly motivated and analytical Data Engineer to join our data team and assist in the development, maintenance, and improvement of our data infrastructure and systems. As a Data Engineer, you will work closely with other members of the team to design, implement, test, and document data pipelines, ETL processes, databases, and data warehouses. You will also be responsible for troubleshooting issues with data quality, performance, and scalability, and proposing and implementing solutions to address them. Additionally, you will collaborate with other departments in the organization, such as IT and business units, to gather requirements and ensure data integration and consistency across different systems and applications.
RESPONSIBILITIES:
Document the data infrastructure, processes, and best practices, and provide training and support to the relevant stakeholders;
Troubleshoot issues with data quality, performance, and scalability, and propose and implement solutions to address them;
Work closely with other members of the data team, such as Data Scientists and Analysts, to understand their data needs and help them access, analyze, and visualize data in a timely and secure manner;
Participate in code reviews, testing, and deployment processes to ensure high- quality deliverables;
Collaborate with other departments in the organization, such as IT and business units, to gather requirements and ensure data integration and consistency across different systems and applications;
Assist in designing, implementing, testing, and documenting data pipelines, ETL processes, databases, and data warehouses;
REQUIREMENTS:
Having knowledge and experience with implementing data governance is also a plus;
Strong background on data modeling, data analytical platform, and SQL querying;
Pursuing a degree in Computer Science, Data Science, or a related field;
Good communication and collaboration skills (both native and English), with the ability to work in a team- oriented environment;
Strong programming skills in Python;
At least 1 year experience with data ingestion, processing, transforming and visualization tools and frameworks, such as Pandas, Dbt, Mage- AI, Metabase…;
Having experience on data crawling is a plus;
Strong analytical and problem- solving skills, with the ability to think creatively and outside the box;
Attention to detail, with a commitment to producing high- quality deliverables on time.
