True Tandem - Database Engineer
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Requirements
• US Citizen with Public Trust clearance • 1+ years of experience in data engineering, data migration, or ETL development. • SQL skills and experience working with relational data structures. • Experience cleansing, normalizing, and validating data. • Experience supporting data migrations from legacy applications or databases. • Ability to work independently and collaborate with application and analytics teams. • Hands-on experience with Microsoft Azure data services, preferably in Azure Government Cloud (MAG). • Experience working with Microsoft Dataverse — tables, relationships, and data modeling. • Experience with Azure Data Factory and/or Synapse for ETL/ELT pipelines. • Preferred: Experience implementing API-based data sharing and integration patterns between systems. • Preferred: Active CDC suitability or Public Trust clearance • Preferred: Experience supporting analytics or reporting initiatives (e.g., Power BI). • Preferred: Familiarity with data governance concepts in regulated or government environments. • Preferred: Experience migrating data from Mendix or other low-code/legacy platforms.
Responsibilities
• Conduct discovery and assessment of customer’s legacy data sources to document data structures, dependencies, and data quality issues. • Perform data profiling to identify incomplete, duplicate, or inconsistent records prior to migration. • Design and execute data extraction, transformation, and load (ETL/ELT) processes to migrate legacy data into Azure‑based environments. • Cleanse, normalize, and standardize datasets to ensure consistency, accuracy, and usability across modernized systems. • Coordinate data migration timing with application teams to ensure data availability aligns with production deployments and go‑live activities. • Validate migrated data through reconciliation checks and stakeholder review to confirm completeness and accuracy. • Implement data quality checks, validation rules, and exception handling to support long‑term data integrity. • Support establishment of basic data governance artifacts, including documentation of data definitions, standards, and transformation logic. • Prepare curated datasets to support analytics and reporting use cases, including Power BI dashboards. • Support data integration efforts by assisting with data synchronization and API‑based data flows where required. • Develop and maintain technical documentation related to data models, migration approaches, and data quality controls. • Contribute to monthly progress reporting and other contract deliverables as required.
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