Data Quality Engineer

• 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
• 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
• 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
• Analyse and translate client&039;s needs into an industry-leading enterprise data architecture that seamlessly integrates the current system and data asset with the new strategy
• Guide team members by offering support, advice, and best practices recommendations throughout the project implementation
• 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
• Research all available data quality technologies and solutions, determine suitability, and provide guidance on the best solution for the project at hand

• Education: Bachelor’s degree; Computer Science, MIS or Mathematics are preferred majors.
• Ability to perform root cause analysis to develop best DQM solutions
• Experience with Infosphere Data Quality Suite, Talend or Informatica (Talend or Infosphere strongly preferred)
• Advanced hands-on experience testing DW and automated testing of data security (RBAC, RLS, CLS, Data Masking)
• Ability to query and analyse data in a database management or file system
• Data Ingestion Automated testing of multi-tenant Azure Data Lake Gen 2
• Excellent problem solving and critical thinking skills
• Strong data modelling skills
• 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
• A mastery of how data quality is measured, including understanding of completeness, uniqueness, validity, accuracy, integrity, timeliness, etc.
• Effective communication skills with an ability to explain technical concepts to developers, product managers, and business partners
• Advanced hands-on experience with automated testing of Power BI embedded, PowerShell, Azure CLI, ARM templates
• Understanding of Data Governance principles and how Data Governance relates to Data Quality Management
• Automated testing of multi-tenant Azure Data Factory Data Pipeline for ELT
• Ability and desire to work with a team of people solving complex problems that often require independent research with minimal supervision
• Advanced hands-on experience with automated testing of Azure APIs (Azure AD Provisioning API, Azure Data Lake API, Azure Data Factory API)

• Opportunity to work with multicultural environment and travel.
• 13th month salary, social insurance
• Opportunity to work on new technologies and tools
• Performance review and adjust salary twice a year

Cập nhật gần nhất lúc: 2022-05-27 18:52:03