KINH DOANH F88 4.0 ★

1. Background
-Designing, testing, deploying, and documenting data quality procedures and their outputs
-The primary tasks associated with this role are to use data quality tooling to profile the project source data, 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
-Analyse 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
-Document at a functional level how the procedures work within the data quality applications
-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 for the project at hand
-Guide team members by offering support, advice, and best practices recommendations throughout the project implementation
2. Knowledge
-Effective communication skills with an ability to explain technical concepts to
developers, product managers, and business partners
-Excellent problem solving and critical thinking skills
-Ability and desire to work with a team of people solving complex problems that often require independent research with minimal supervision
-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
-Data Ingestion Automated testing of multi-tenant Azure Data Lake Gen 2
-Advanced hands-on experience testing DW and automated testing of data security (RBAC, RLS, CLS, Data Masking)
-Advanced hands-on experience with automated testing of Azure APIs (Azure AD
Provisioning API, Azure Data Lake API, Azure Data Factory API)
-Advanced hands-on experience with automated testing of Power BI embedded, PowerShell, Azure CLI, ARM templates

3. Qualification
-Education: Bachelor's degree; Computer Science, MIS or Mathematics are preferred majors.
-Experience with Infosphere Data Quality Suite, Talend or Informatica (Talend or Infosphere strongly preferred)
-Understanding of Data Governance principles and how Data Governance relates to Data Quality Management
-Strong data modelling skills
-Ability to query and analyse data in a database management or file system
-A mastery of how data quality is measured, including understanding of completeness, uniqueness, validity, accuracy, integrity, timeliness, etc.
-Ability to perform root cause analysis to develop best DQM solutions

• 24/7 health insurance
• 13++ months salary/year
• Salary increase reviews 2 times/year
Salary based on capacity from 18M - 24M + allowances
• Income: 13 months salary/year + project bonus up to 2 months salary/year, Tet and holiday bonuses...
• Consider salary increase 2 times/year: 1 time periodically and 1 time unexpectedly based on capacity and work efficiency
• Off Saturday, Sunday + Minimum 12 days annual leave according to current Law regulations
• Participate in social insurance, health insurance, unemployment insurance according to current Law regulations
• 24/7 health care insurance after 12 months of employment
• Participate in Company Clubs: Soccer Club, Badminton Club...
• Participate in exciting group activities of the company: Annual vacation, quarterly Teambuilding, Company birthday, Year-end Gala...
• Have a policy to visit sick, maternity, filial piety, weddings, and birthdays for yourself and your relatives
Special
• 50% support for outside course costs, 100% support for exam costs for IT-related certifications, soft skills improvement courses, 1 salary increase immediately upon receiving the certificate
• Opportunities to work and train in Japan and Singapore for candidates who speak Japanese or English
• Work in a young, dynamic environment, supported to maximize abilities and develop work.