Build data pipelines and platforms that power analytics, reporting and AI applications for clients in retail and financial services.
Job description
- Design and build batch and real-time data pipelines from a wide range of source systems.
- Model data for warehouses and lakehouses so that it is consistent and easy to use.
- Put data quality checks, monitoring and automated alerting in place.
- Work with data scientists and AI engineers to prepare training data and knowledge bases for large language models.
- Optimise the cost and performance of data processing on cloud provider infrastructure.
Requirements
- At least three years of experience as a data engineer or in a similar role.
- Strong Python and SQL skills, with experience in Spark or a comparable distributed processing engine.
- Familiarity with orchestration tools such as Airflow and transformation tools such as dbt.
- Good understanding of data modelling, partitioning and query optimisation.
- Strong analytical thinking and the ability to communicate clearly with business users.
- Experience with streaming tools such as Kafka is a plus.
Benefits
- Competitive pay and bonuses tied to project results.
- Large-scale data and AI projects across several countries.
- Sponsored data and cloud certifications, with at least 80 hours of learning a year.
- Flexible working and support for home-office equipment.
- Premium health insurance and 15 days of annual leave.
- A hybrid schedule with up to two remote days per week.
- A mentor from the Data & AI leadership team during your first six months.
Please send your CV to tuyendung@xxxxx.vn with the subject “Data Engineer – HCMC – Your name”. Our process includes a short technical exercise and two interview rounds, and usually takes about two weeks. Candidates from other cities are welcome, and relocation support is available.
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