Bản Viên ★ 2.9

You will be responsible for implementing a robust, reusable and scalable data pipeline using Azure Stack; using Databrick to build model in Datalake/Azure Synapse; set up data platform/Streaming data technologies (relational databases, nonrelational databases, data streams, and file stores) that are on-premises and in the cloud; working with the leaders to the standards for software engineering practices within the machine learning engineering team. Opportunities to enhance and expand your technical skills in varied areas are available from our experienced data engineers.

Our projects are on-going, long term and may encompass other areas such as: banking, finance insurance and scientific applications.

MUST HAVE

• University degree in Computer Science, Engineering and/or a technically oriented field.
• A minimum of 2 years of experience working as a data analyst or business data analyst.
• At least 2 years’ experience in Azure services: HD Insight, Azure DataBricks, ... and professional usage of Python (or R), SQL and stored procedures.
• Hands-on experience in programming, data modelling, and database systems.
• Having experience in Linux, Window Operation System.
• Experience in batch & stream data integration and processing.
• Knowledge of Agile/ Scrum.

NICE TO HAVE:

• Plus: Working knowledge of various Machine Learning/Deep Learning applications (Keras, Tensorflow, Python scikit learn and R).
• Plus: knowledge of Big Data technologies, such as Flink/Spark, Hadoop/MapReduce, Hive, Sqoop, Oozie.
• Plus: knowledge of cloud-based platforms (Google GCP, AWS, and Azure) and their ML/DL applications.
• Plus: English communication.
• Plus: Azure certifications (DP200 and/or DP201, DP203).

• 13th Salary + Performance Bonus.
• Pass Probation Bonus.
• Premium healthcare insurance benefits (PVI Insurance package) and family medical benefit (based on the level of experience).
• Provide the famous e-learning platform-Udemy, to encourage continuous learning to adapt to the T-shape model.
• Flexible working time: only 8 hours required as continual working-time at the office.
• Annual leave up to 17 days: 12 days paid leave + 5 days’ sick leave.
• Professional and Personal Development Training Programs.
• 4 Stars standard company trip in summer and a big annual Year-End-Party.
• Coffee and snacks provided.
• Holiday celebrations and parties for team members and family.