Design, develop, and maintain scalable ETL/ELT pipelines to support enterprise data integration and analytics.
Ingest, transform, and integrate data from diverse sources including flat files, JSON, XML, Excel, REST APIs, and graph databases.
Develop and optimize SQL and Python-based data processing solutions for efficient data ingestion and transformation.

Data Platform Management:

Load, manage, and optimize data within modern data platforms such as Databricks Unity Catalog and SQL Server Managed Instances.
Support both batch and streaming data ingestion frameworks and implement Lakehouse architecture.
Monitor and optimize database and pipeline performance to ensure efficient processing and storage.

Data Quality & Governance:

Implement data quality controls to ensure accuracy, consistency, reliability, and integrity of enterprise data.
Maintain data lineage and metadata to support governance and regulatory compliance.
Apply enterprise data management (EDM) standards and best practices throughout the data lifecycle.

Ardent

Ardent supports the federal government in national security and defense priorities, helping protect the nation and advance critical technologies. The company offers competitive pay, comprehensive health coverage, and a culture that values dedication and adaptability, employing purpose-driven innovators and veterans.

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