Data Quality Engineer ($7,000)

Key Responsibilities:

• Define and implement data quality checks, validation rules, and exception handling workflows.
• Collaborate with business stakeholders to establish metadata standards, business rules, and data lifecycle policies.
• Support and promote adoption of enterprise data governance frameworks.
• Monitor, report, and proactively remediate data quality issues.
• Maintain and enhance documentation, including data dictionaries, glossaries, and lineage.
• Assist with data classification and access control aligned with regulatory and security policies.
• Contribute to auditing and compliance efforts related to data usage and governance.
• Use data profiling and cleansing tools to assess data health and readiness.
• Coordinate with technical teams to embed quality controls into data pipelines.
• Drive continuous improvement in data stewardship practices.

Technical Skill Set:

• Solid grasp of data quality dimensions (accuracy, completeness, consistency, timeliness, validity, uniqueness)
• Familiarity with tools like Talend, Dataiku, Denodo for profiling, cleansing, and validation
• Experience with structured and semi-structured data (SQL Server, MongoDB, APIs)
• Hands-on experience with metadata management and lineage tracking tools
• Working knowledge of data governance frameworks (e.g., DAMA-DMBOK), business glossaries, and cataloging systems
• Proficient in SQL, Python, and Shell scripting for automated data quality checks
• Comfortable in Linux environments
• Understanding of data classification, access control, and security policies
• Experience documenting data standards, definitions, and stewardship ownership
• Strong communication and stakeholder engagement skills

To Apply, please kindly email your updated resume to [email protected]

Regret to inform that only shortlisted candidates will be notified.

EA License: 14C7275