- Hồ Chí Minh: Phòng 20, Nhà 8, Đường số 13, Công viên phần mềm Quang Trung, P. Tân Chánh Hiệp, Q.12, TP.HCM, Quận 12
• 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
• 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
• 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
-Very attractive remuneration package
-A professional work environment with young and motivated teams
-Attractive career opportunities and personal development through training and coaching
-A broad range of exciting projects using state of the art technologies and Agile methodologies
-A flat hierarchy and a culture of collaboration across all disciplines
-Modern workplace
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