8+ years designing, developing SQL Server databases
5+ years creating SSIS packages for data manipulation
Bachelor's degree in IT, Computer Engineering, or related field
Responsibilities
Assist the EDW Team with data warehouse information
Create and maintain database integrity using scripts
Develop and improve data transformation services with SSIS
Write SQL Scripts to deploy and maintain databases
Establish and manage database security roles and access
Create reports or facilitate data access using reporting tools
Conduct performance tuning and database design activities
Benefits
Customizable health benefits (medical, dental, vision)
Life insurance and disability coverage
Health Savings and Flexible Spending Accounts
401K Retirement Plan options
Tuition Reimbursement
Voluntary benefits options
Full Job Description
***Position is 100% on-site***
***Secret Clearance Is Required***
Job Summary
Seeking a Sr. SQL Developer / Enterprise Data Warehouse with Data Warehousing and cloud environment experience to support to the Office of Information Systems (TC) within the Drug Enforcement Administration (DEA). The DEA's SQL Server-based EDW is used by many DEA's applications and is a critical component of statistical reporting. Active secret clearance is required.
As with any position, additional expectation exist. Some of these are, but are not limited to, adhering to normal working hours , meeting deadlines, following company policies as outlined by the Employee Handbook, communicating regularly with assigned supervisor(s), and staying focused on the assigned tasks including company meetings, and completing other tasks as assigned.
Responsibilities
To assist the EDW Team and provide data warehouse information and facilitate the transition to a cloud environment
Create and maintain database integrity and performance using scripts and/or Visual Studio Database Projects
Create new and maintain/improve all data transformation services: Microsoft SSIS and others using VS data tools
Create SQL Scripts to deploy / enhance / maintain databases
Create and maintain database security, including, but not limited to: Data Base Roles, Users and Logins
May write reports or facilitate data access by other means as needed, to include SSRS, PowerBI, etc
Conducts performance tuning and database design, dimensional analysis and modeling
Maintain and add to an extensive set of SQL Server Integration Service (SSIS) packages for Extract, Transform, and Load (ETL) of data
Support the ongoing effort to establish a Data Engineering environment supported by Python and other languages to perform ETL and ELT (Extract, Load, and Transform) operations
Supports the review of database systems from non-Concorde applications in other DEA offices for ingestion into the EDW
Participate in daily Agile stand-up meetings and monthly planning sessions, sprint reviews, and retrospective sessions
Other duties as assigned
Basic Qualifications
U.S. Citizenship Required
Secret Clearance Required
Must be able to pass a DEA Security Approval
2+ years of Cloud environment experience (AWS or Microsoft Azure)
8+ years of experience in the design, development and implementation of SQL Server databases creating and maintaining T-SQL Procedures, functions, and triggers
5+ years of experience with SSIS packages for data manipulation and loading in an enterprise data warehouse environment
5+ years of experience with the SQL Server 2016 environment
Bachelor's degree in IT, Computer Engineering, or a related discipline
Previous experience with Business Intelligence, Kimball Modeling and/or elastic search is desired
If applicable: If you are or have been recently employed by the U.S. government, a post-employment ethics letter will be required if employment with VSolvit is offered
Preferred Qualifications
Knowledge of, and experience within, an Agile development environment
Knowledge of, and prior experience with Git, Python, and PowerShell
Knowledge of, and ability to use, Azure DevOps Server
Ability to write efficient SQL queries as well as demonstrated ability to interpret legacy scripts
Knowledge of, and prior experience with multi-dimensional data models
Demonstrated prior experience with SSIS
Knowledge of Kimball data warehouse methodology is highly desired
Demonstrated ability and desire to learn new technologies
Ability to reverse engineering existing logic of all kinds (queries, stored procedures, functions, Python, and C#)
Ability to write test plans and cases
Experience with data modeling
Experience with programming and software development, including Python, R, or other high-level language used in statistical computing
