Data Engineer

PRIMARY RESPONSIBILITIES INCLUDE

Evaluate business and technical domains to produce representative logical and physical data models.
Build data models with the flexibility to change when business requirements change.
Reconcile multiple logical source models into a single, logically consistent enterprise model.
Develop and automate large scale, high-performance data processing systems (batch and/or streaming) to drive business growth and improve the product experience
Develop data stores, including warehouses, data lakes, data marts, etc., to support the BI and operational research initiatives.
Build scalable data pipelines leveraging orchestration framework
Improve data quality by researching, using & improving tools to automatically detect issues
Define modeling standards, guidelines, best practices and approved modeling techniques.
Employ initiative, professionalism, and self-discipline in daily interactions.

REQUIRED QUALIFICATIONS

Solid experience of relevant industry experience
Bachelor’s and/or master’s degree, preferably in Computer Science, or equivalent education and experience
Proven capability for managing data migrations between software products and custom apps
Experience with pipeline tools such as Nifi, Airflow
Experience in developing, deploying and optimizing data stack (both cloud and on-prem data solution) including but not limited to dbt, Airflow, Airbyte, Spark
Experienced with Extract-Transform-Load (ETL), Extract-Load-Transform (ELT), and Discover-AccessDistill (DAD) processes batching and streaming use cases.
Extensive expertise in multidimensional data modeling, start schemas, snowflakes, normalized and denormalized modes, and Kimball methodologies
Strong negotiation and consensus building abilities
Exceptional ability to communicate in a written, spoken, or visual manner at all personnel levels

Desired qualifications:

Demonstrated real-world execution implementing data warehouses and data lakes
Experience in data visualization, Business intelligence and insights presentation via BI and dashboard tool such as Tableau, Power BI, Looker, Metabase, Superset is a plus
Familiarity working with open-source Linux-based technologies
Verifiable record of building an enterprise analytics capability from greenfield
Fluent in Vietnamese and English
Able to travel internationally on an occasional basis

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