Data Quality Engineer

Position: Data Governance / Data Quality Engineer

Location: Charlotte, NC (onsite from 29th Aug 2022 in Hybrid mode, 3 days office and 2 days wfh)

Duration: 12+ Month contract with possible extension

Note: Client be asking more into Data Governance or Data Quality solutions in Ab initio like EDH / Expressit toolsets

Key Responsibilities

Break down sophisticated Data into meaningful chunks and synthesize action plans relevant to the business

Proven analytical ability using tools to evaluate data and draw conclusions

Translate key insights, trends and data into meaningful recommendations; prioritize project work into client presentations, outlining findings and recommendations

Build a framework, with a focus on improvement of data quality and the protection of critical data through policies and standards, principles, governance metrics, processes, related tools and data architecture

Crafts mapping of data sources, data movement, interfaces, and analytics. Builds flow diagrams, structure charts, and other types of system, process, data flow representations.

Profile data, resolve trends, patterns, inconsistencies, draw conclusions in order to conceptualize DQ rules and recommend business rules.

Translate conceptualize DQ rules into scripts for validation of the proposed rules and recommend improvements based on data domains, product type, client specific data and systems layout.

Define critical metric to measure and presenting data quality controls to senior management/partners

Required Qualifications

Bachelor's degree in information technology, business, or related field, or any equivalent combination of education and experience required.

Prior data analysis/data profiling experience (quantifying the issue, identifying trends & patterns)

Strong analytical & problem solving capabilities to break sophisticated problems into simpler ones.

Experience in one or a combination of the following: data management, data governance, data quality or data analysis.

Experience performing data analysis leveraging SQL or other techniques to extract data from data warehousing platforms.

Desired Qualifications

Excellent verbal and written communication skills. Prior experience interacting extensively with users.

Knowledge of Capital Markets Finance domain.

Experience in using Collibra tool for data management, prepare template for ready use/ upload and deployment is desirable

Experience on Informatica IDQ, AbInitio DQE or any other DQ tools is an added advantage.

Experience with all aspects of the software development life cycle including various documentation techniques, participating in testing activities, and developing metadata