Ensuring Data Quality: They use Bigeyes data observability features to monitor data quality and identify potential issues.Understanding Data Relationships:
They use Alations data catalog to understand the relationships between different data assets.Data Lineage: They use data lineage to identify the impact of changes to data assets.Data Profiling:
They use data profiling to determine the usability of data assets.Trust Flags:
They use trust flags to signal the trustworthiness of dataData Tagging:
Identifying data elements and applying appropriate tags to ensure proper tracking and measurementsData Quality Rule/Plan: Determine and assign appropriate data quality rules, testing, and plans are assigned to ensure veracity of data when engine runs.Must have experience with all USAA internal systems, policies, standards, procedures including IGC, RRAIT, IAI, IA, UDC/Alation, BigEye.Must have experience of playing a lead role in at least 2 to 3 mid-large sized projectsLeads a team of data modelers in large projects for creation logical and physical data models using best practicesOptimizes and updates logical and physical data models to support new and existing projectsMaintains conceptual, logical and physical data models along with corresponding metadataClosely coordinates and liaises with the Business Analysts and Technical Architects on high complexity work to ensure the effective translation of business and technical requirements into the logical data modelDesigns standard naming conventions and coding practices to ensure consistency of data modelsEvaluates data models and physical databases for variances and discrepanciesMust validate data models and physical database for variancesHighly experienced with ETL tools such as Informatica, DataStage, Ab Initio, etc.
Equal Opportunity Employer
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.