Database Engineer
New
This work will be remoteFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 1+ years of experience in data engineering, data migration, or ETL development
- Required Skills
- SQLETLMicrosoft AzureMicrosoft Power BIData engineering
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.
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.
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