[Vinsmart] Data Scientist

Job Description

• Design, build and deploy many Big Data applications within a streaming architecture to ingest, transform, and store data to be used in Machine Learning Models, developing prototypes quickly.
• Build and deploy the platforms for Data Monitoring, Data Catalog, Data Governance, Self-service Analytics.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Build analytics tools that utilize 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 scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Design, implement, maintain data models with Ralph Kimball’s Dimensional Modelling methodology.
• Build and maintain data pipelines using tools such as NIFI, Airflow, etc.
• Evaluate and define KPIs to monitor and manage data quality.
• Support data scientists, data analyst to explore data in Data warehouse.
• Build and maintain integration data flow provided to other departments.
• Maintain update-to-date documentation of data assets, ETL flows, data dictionary.
• Perform other duties, tasks, or special assignments that relates to their skillsets as needed.

Requirement

• 2-4 years experience in a similar role.
• English: Full professional proficiency
• Good SQL skill or Java/Scala/Python skill
• Ability to work with business & technical stakeholders.
• Ability to process big data with Apache Spark, Flink, Beam, Kafka, etc. is a plus
• Ability to use NoSQL databases such as HBase, Cassandra, Dgraph, Redis, etc. is preferred
• Nice to have: Experience with cloud data platform.