Data Engineer

Job Description

REQUIREMENTS

• Effectively and accurately communicates with management regarding project status, issue identification, and remediation. 
• Excellent interpersonal, organizational with exceptional written and verbal communication skills. 
• High quality customer service skills including strong training skills. 
• Ability to analyze and work with complex system integrations.  
• Seek innovative ways to improve the process of delivering solutions to clients.  
• The successful candidate will also be able to pass background screening prior to employment. 
• US Citizenship, legal permanent residence, or US work authorization with minimum 3 years of US presence is required due to federal contract requirements.
• 3+ years’ experience with Data Modeling. 
• Expertise with reverse engineering existing application databases and underlying data architecture to present recommendations for optimizing the underlying data models.  
• Experience with Oracle database, including the ability to write and understand complex SQL queries against Oracle database.
• Experience with administration, configuration management, monitoring, debugging, benchmarking and performance tuning of Database Engines. 
• Experience with federal data governance and compliance. 
• Experience with the following:
• Azure Data Lake Storage Gen2.  
• Azure Data Factory pipeline development and orchestration.  
• Medallion architecture (bronze/silver/gold).  
• Azure Data Factory or Synapse pipelines.  
• Azure SQL unified data model. Data migration from legacy federal systems (SQL Server, Oracle, flat files).  
• Bachelor’s degree in Computer Science, or a related scientific or technical degree; or equivalent experience. 

RESPONSIBILITIES

• Projects long-range requirements for database design in conjunction with other managers in the information systems function.   
• Identifies architectural risks and plans to mitigate.  
• Leads innovation by exploring, investigating, recommending, benchmarking and implementing data centric technologies for the platform.   
• Conducts quality control and auditing of databases in a client/server environment to ensure accurate and appropriate use of data. Advises users on access to various client/server databases.  
• Creates new data validation methods and data analysis tools.  
• Ensures compliance with data governance and security policies.  
• Analyzes problem incidents, debug SQL and implement fixes. 
• Performs data access analysis design, and archive/recovery design and implementation.   
• Other duties may be assigned. 

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