INTRODUCTION
Founded in 2010, Ban Vien Corporation has embarked on an inspiring journey, evolving into a trusted technology partner that has left an indelible mark in the realm of software development and embedded system development. Today, our influence extends both domestically and internationally, showcasing our commitment to driving digital transformation. At Ban Vien, we relentlessly pursue innovation across diverse industries like Edutech, Fintech, Retail, Automotive, Smart IoT, and Logistics. Our comprehensive services span Digital Consulting, R&D, Software Development, and Dedicated Development Centers. This global expansion includes valued clients and esteemed partners in the United States, Germany, Japan, Singapore, China, Hong Kong, Thailand, Malaysia, and Vietnam.
JOB DESCRIPTION
Our projects are on- going, long term and may encompass other areas such as: banking, finance insurance and scientific applications.
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.
REQUIREMENTS
MUST HAVE
• University degree in Computer Science, Engineering and/or a technically oriented field.
• Knowledge of Agile/ Scrum.
• At least 2 years’ experience in Azure services: HD Insight, Azure DataBricks, … and professional usage of Python (or R), SQL and stored procedures.
• A minimum of 2 years of experience working as a data analyst or business data analyst.
• Experience in batch & stream data integration and processing.
• Having experience in Linux, Window Operation System.
• Hands- on experience in programming, data modelling, and database systems.
NICE TO HAVE
• Plus: Azure certifications (DP200 and/or DP201, DP203).
• Plus: knowledge of cloud- based platforms (Google GCP, AWS, and Azure) and their ML/DL applications.
• Plus: knowledge of Big Data technologies, such as Flink/Spark, Hadoop/MapReduce, Hive, Sqoop, Oozie.
• Plus: Working knowledge of various Machine Learning/Deep Learning applications (Keras, Tensorflow, Python scikit learn and R).
• Plus: English communication.
COMPANY BENEFITS
• Provide the famous e- learning platform- Udemy, to encourage continuous learning to adapt to the T- shape model.
• 13th Salary + Performance Bonus.
• 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.
• 4 Stars standard company trip in summer and a big annual Year- End- Party.
• Premium healthcare insurance benefits (PVI Insurance package) and family medical benefit (based on the level of experience).
• Pass Probation Bonus.
• Coffee and snacks provided.
• Professional and Personal Development Training Programs.
• Holiday celebrations and parties for team members and family.
