4Bell Technology

Job Description

Must have skills:

• Must Have: “Data Governance”, “Data Quality”, “Data Profiling”, “Data Steward”, “Master Data”, MDM, “Master Data Management”, use of LLMs for productivity (prompt engineering, context engineering)
• Nice to have: DataOps, “Data Observability”, SQL, Python, Azure

Purpose of the role: Assist with end-to-end data quality and governance of Master data domains.

Role Description:

·         Work with different business and IT stakeholders to prioritize the data domains, and applications for data quality and master data management.

·         Assist with gathering and documenting master data management solution requirements.

·         Translate MDM requirements to functional specifications.

·         Understand different data sources being used and the connectors required in the data quality tool.

·         Continuously engage with the business and IT stakeholders in tracking the usage of data quality tool and monitor the progress of fixing the data quality issues.

·         Provide guidance in implementing data quality by design for new web and mobile applications.

·         Critically review current mobile and web applications, find the user interface functions producing poor data quality, provide solution to fix the issues.

·         Build data quality rules for critical data elements and validate them with relevant stakeholders.

·         Train data stewards and other business, IT stakeholders on how to use the data quality tool.

·         Create a standard process to build data quality rules and train stakeholders.

·         Look for automation opportunities and coordinate with required stakeholders to automate different data governance processes (auditing, metrics gathering, etc.)

·         Provide weekly status reports to management regarding the data quality scoring and improvement.

Functional competency:

·         Must have hands-on experience in data profiling, uncovering data quality issues, and building data quality scorecards.

·         Must have strong master data governance conceptual understanding and must have participated in the design and development in 4 projects.

·         Must have manufacturing or automotive experience.

·         Hands-on experience implementing an MDM tool or implementing a custom MDM solution is highly desirable.

·         Hands-on experience in DataOps and implementing Observability is a plus.

·         Hands-on experience in Python and SQL.

·         Hands-on experience in Data Engineering (Azure, AWS, or GCP) is a plus.

·         Must be hands-on.