Data quality engineer

VAM Systems is a Business Consulting, IT Solutions and Services company.

VAM Systems is currently looking for Data Quality Consultant for our Bahrain operations with the following skillsets & terms and conditions:

Experience

• 5 years of experience preferred.

Educational Qualification

• BA Computer Science

Skills :

● Excellent in Excel, SQL, SAS, Data Analysis,ETL tools, Data profiling

● A comprehensive grasp of data governance processes, Master Data Management, Reference Data Management, Data Profiling and Data Quality(DQ) rules, and Data Warehousing.

● Experience in identifying, assessing, monitoring, controlling, and mitigating Data Quality issues and risks.

● Profound experience in defining and rolling out Data Quality (DQ) Management Framework, processes, policies and standards within the (business) organisation.

● Excellent quantitative data analysis, including the ability to draw insights from existing quantitative data quality reports & dashboards, as well as explore & summarise ‘raw' data sets to discover insights using SQL and SAS.

● Profound understanding of Banking (preferably Islamic Banking) and Financial products, related data and regulatory reporting requirements.

● Robust project management skills to define & drive technology process improvement projects leveraging virtual teams to deliver permanent data quality improvements to data capture systems.

● Compelling organisational and communication skills to drive the adoption of data quality within the organisation by synthesising complex information and explain it in simple, compelling ways to users (IT and Business users).

Responsibilities :

● Defining and rolling out Data Quality (DQ) Management Framework,processes, policies and standards within the (business) organisation.

● Identifying, capturing, monitoring of data quality, identifying root-causes based on data analysis combined with banking and financial knowledge, define data quality remediations in cooperation with IT and Business stakeholders.

● Overseeing the complete data lifecycle – from data creation and capture, to data processing, storage, and usage.

● Develop SQL Server T-SQL procedures/functions for batch processing as well as reports, in line with user requirements.

Terms and conditions

Joining time frame: (15 - 30 days)