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Tier-1 brand, metro location, and generalist data skills create moderate candidate competition.
Requires specialised data-quality, Azure and DQ-tool experience, making cross-industry transfers difficult.
Mandates 8+ years, Azure/SQL and specific data-quality tools, making filters stringent.
Ensure data quality of production-grade data and analytics solutions through validation, profiling, and monitoring across multiple lifecycle stages.
Build and maintain data quality rules, perform anomaly detection, and create data quality artifacts.
Mentor junior Data Quality Analysts and independently lead design, solutioning, and estimations while collaborating across Business, Technology, Operations, and Data & Analytics teams.
8-10+ years of relevant experience in data quality or related fields.
Bachelor’s degree in computer science, information technology, or equivalent.
Proficiency in SQL, Azure Data Services (Data Factory, Synapse), and data quality testing tools (Atacamma, IDQ, Tosca).
Work Experience Required: 8-10+ years
Experienced individual contributor with strong expertise in data profiling, quality testing, and large data environments both On-Prem and Cloud.
Demonstrated ability to collaborate with diverse cross-functional teams and lead solution design and estimations.
Experience mentoring junior analysts and strong partner/stakeholder engagement skills.