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Establish, advance, and mature data quality and governance capabilities in a greenfield, low maturity data environment. Support enterprise analytics, BI, and AI/ML readiness through SQL/ETL engineering, data profiling, validation, stewardship, metadata management, and early stage data architecture. Drive long term improvement of data standards, definitions, lineage, and quality processes.
Required Skillset
Bachelor’s degree in Information Systems, Computer Science, Data Science, Statistics, Business Analytics, or related field.
6 + Years: Advanced T SQL, SQL Server development, debugging, and performance tuning.
6 + Years: SSIS development, deployment, and troubleshooting
6 + Years: Data profiling, validation rule design, quality scoring, and measurement techniques.
6 + Years: Metadata management and lineage documentation.
6 + Years: Reporting and dashboarding with Power BI, Tableau, or similar tools.
6 + Years: Strong documentation and communication skills.
Key Skills
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