Sr. Data Quality Specialist

We’re seeking a hands‑on Senior Data Quality Analyst to design and build automation‑first data quality controls s role sits at the intersection of data engineering, APIs, and observability, owning the development of data quality pipelines, monitoring, and remediation across cloud and on‑prem environments.

• Engineer automated data quality pipelines to detect, diagnose, and remediate data defects at scale
• Use Python and SQL for profiling, rule evaluation, schema validation, anomaly detection, and exception handling
• Build API‑driven integrations (REST / Graph
  
  QL) with DQ, catalog, ticketing, and orchestration platforms
• Embed automated DQ controls into ETL/ELT pipelines, including pre/post‑load validations and SLA/SLO monitoring
• Create event‑driven alerts and workflows (e.g., Jira, Service Now) with full auditability
• Develop Power BI dashboards and Power Apps to visualize DQ coverage, drift, and operational KPIs
• Contribute to CI/CD workflows for DQ assets (testing, promotion, secrets, change control)
• Perform root cause analysis and implement automated remediation where possible

• 5+ years of experience in data quality, data engineering, or analytics engineering
• Advanced proficiency in Python and SQL for automation and reusable frameworks
• Strong experience designing and consuming REST / Graph
  
  QL APIs (OAuth2, pagination, retries, webhooks)
• Experience integrating DQ into ETL/ELT, CI/CD, and event‑driven architectures
• Hands‑on experience with Power BI and Power Apps for operational reporting
• Strong collaboration skills across engineering, governance, and business teams