Job Description :
Responsibilities
Profile source data and determine all source data and metadata characteristics; Design and execute a Data Quality Audit/Assessment; Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data
Document all mappings and rules in detail
Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules
As per business requirements perform thorough data profiling with multiple usage patterns, root cause analysis and data cleansing and develop scorecards utilizing Tableau, Excel and other data quality tools
Good at writing test scenarios, performing unit testing, and verifying the end results with business requirements
Implement data quality processes including parsing, analysis, standardization and enrichment at point of entry and batch modes
Requirements
Proficient at writing SQL queries and verifying the results
Experience with at least one end to end Master Data Management implementation is required
Financial background a plus
Good understating of data governance principals
Experience and understanding with unit testing, release procedures, coding design and documentation protocol as well as change management procedures
Ability to multi-task with strong attention to detail and analytical skills
Ability to manage tasks independently and take ownership of responsibilities
Proficiency using versioning tools and proficiency using debugging tools
High critical thinking skills to evaluate alternatives and present solutions that are consistent with business objectives and strategy
Experience using Agile methodology