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Data Quality & Governance Analyst, Mid-level
EVTData Quality & Governance Analyst focusing on strategic AI & Data projects for data quality and governance. Collaborating with stakeholders and data engineers on quality indicators and best practices in a remote environment.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Quality and Data Governance, with a strong focus on implementing data standards and monitoring compliance metrics. Proficient in collaborating with cross-functional teams to enhance data processes and ensure effective documentation.
Highest-signal resume keywords
Data QualityData GovernanceGoogle BigQueryApache AirflowSQL
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data QualityData GovernanceData DocumentationData ModelingSQLPythonData LineageData Quality MonitoringMedallion ArchitectureData Standards
Soft Skills
CollaborationContinuous Improvement
Tools & Technologies
Google Cloud PlatformGoogle ComposerData Catalog
Industry Keywords
Data Quality MetricsData ComplianceData ProcessesData PipelinesData ControlsData Best Practices
Tech Stack
Tools & technologiesAirflowApacheBigQueryCloudGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Work on a strategic AI & Data project, focusing on data quality, consistency, traceability and governance.
- Support the definition and implementation of data standards, controls and best practices.
- Monitor quality and compliance metrics.
- Collaborate with Data Engineers, analysts and stakeholders on documentation, monitoring and continuous improvement of data processes and pipelines.
Requirements
What you’ll need- Experience with Data Quality and Data Governance.
- Knowledge of Google BigQuery and Google Cloud Platform (GCP).
- Experience or familiarity with Apache Airflow (Google Composer).
- Knowledge of the Medallion Architecture (Bronze, Silver and Gold).
- Knowledge of data documentation and modeling.
- Knowledge of SQL and Python is a plus.
- Experience with Data Catalog, data lineage and data quality monitoring is a plus.
Benefits
Comp & perks- Learning incentive programs (Udemy).
- Corporate English classes at affordable rates.