Overview
Data Quality Jobs in Ho Chi Minh City, Ho Chi Minh City, Vietnam at Ban Vien Corporation
Title: Data Quality
Company: Ban Vien Corporation
Location: Ho Chi Minh City, Ho Chi Minh City, Vietnam
1. 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.
2. JOB DESCRIPTION
• You will be in charge for our information assets: thousands of data points regarding business areas and client satisfaction. You will continuously improve data quality, in conjunction with the business areas.
• Manage, control, and steer our production of data, while interpreting every piece of information to continuously improve quality.
• The primary tasks associated with this role are to use data quality tooling to profile the data source, define or confirm the definition of the metadata, cleanse and accurately check the project data, check for duplicate or redundant records, and provide information on how to proceed with backend ETL processes.
• Partner with data stewards to provide summary results of data quality analysis, which will be used to make decisions regarding how to measure business rules and quality of the data.
• Document at a functional level how the procedures work within the data quality applications.
• Designing, testing, deploying, and documenting data quality procedures and their outputs.
• Analyze and translate client's needs into an industry-leading enterprise data architecture that seamlessly integrates the current system and data asset with the new strategy.
• Work closely with data stewards, ETL developers, and business analysts demonstrating the ability to partner and maintain confidence as it relates to coordinating disparate information while being able to translate for downstream consumption.
• Research all available data quality technologies and solutions, determine suitability, and provide guidance on the best solution.
3. REQUIREMENTS
MUST HAVE
• Bachelor’s degree in Computer Science, IT, MIS, or other related filed.
• Knowledge of data warehousing, OLAP, multi-dimensional, star and snowflake schemas.
• Knowledge and experience with database design principles including referential integrity, normalization, and indexing to support application development.
• Automated testing of multi-tenant Azure Data Factory Data Pipeline for ELT.
• Experience in testing DW and automated testing of data security (RBAC, RLS, CLS, Data Masking).
• Experience with automated testing of Azure APIs (Azure AD Provisioning API, Azure Data Lake API, Azure Data Factory API).
• Experience with automated testing of Power BI embedded, PowerShell, Azure CLI, ARM templates.
• English communication.
KNOWLEDGE AND SKILLS
• Logical thinking, structured and discipline.
• Knowledge of Big Data technologies, such as Spark, Hadoop/MapReduce.
• Knowledge of Azure services like Storage Account, Azure Data Bricks etc..
• Good knowledge of SQL and excellent coding skills.
• Ability to work under complex conditions and time constraint.
• Self-Development, Communication, Interpersonal and Problem-Solving Skills.
• Open-minded, multi-tasking, good team player, flexible, punctual and interested in learning new things.
COMPETENCIES
• Leadership Capability Model – Intermediate.
4. COMPANY BENEFITS
• 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.
