Database Architect

  • SAIC,
  • Alexandria, VA
  • 5 hours ago
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Database, Architect, SQL, Oracle, SAS, Developer, DBA, Computer, Engineering, Python, PL/SQL, ISO, IT, Software, Unisys
Full Time

Job Description


We are currently seeking a motivated, career and customer oriented Database Architect to join our team in Alexandria VA to begin an exciting and challenging career with SAIC and CBP.

Key Responsibilities:

• Develop an understanding of the customer's data environment through data profiling and statistical analyses

• Execute complex SQL queries of large Oracle table(s) efficiently. (Note: Advanced command of SQL is important - beyond just simple PROC SQL commands in SAS to include perhaps something like Toad or Oracle SQL Developer.)

• Obtain, scrub, explore, model and interpret data currently stored in Oracle databases - using SQL and other data mining tools/techniques

• Provide accuracy and biometric sample quality based on machine learning and statistical analyses

• Lead DBA for Amazon RDS/Cloud DB

• Provide Cloud DB sizing recommendations

• Provide data modeling including schemas, tables, indexing...etc

• Create/manage DDL and DML for multiple databases

• Work with DBA leads for other databases

• Support developers with recommendations


Required Experience and Skills:

• BS Degree in (Computer Science, Engineering, etc) and 9 years experience or equivalent combination of education and experience.

• Experience with developing predictive models on accuracy using large data sets for high transactional volume environment

• Experience with evaluating and measuring performance of models

• Should have a firm understanding of common statistical modeling and techniques (e.g., linear regression, logistic regression, decision trees, etc.).

• Perform the above tasks using Python or R.

• Possess the ability to perform with little direct supervision as a self-starter.

• Demonstrate excellent troubleshooting skills.

• Expertise in PL/SQL including optimization/permission

• Ability to be a thought-leader in the area of analytics/data science with respect to entity resolution as it pertains to the customer's mission.

• Ability to generate written documentation of all work performed.

• Have a customer-focused demeanor.

• Have effective oral and written communication skills.

• Ability to understand and analyze data models - how the data is stored in relational databases

• Ability to understand system integration aspects of integrating model input and output in transactional systems to help real time decision making

• Good understanding software application architecture and develop integration approaches for predictive models

• Prior experience in working in a mission oriented environment a plus

• Experience with statistics, modeling and machine learning techniques a plus

• Ability to work effectively within a team environment

• Ability to work effectively in a high energy and a very rapid dynamic environment

Preferred Experiences and Skills:

• Conceptual understanding of - and/or prior experiences related to - calculating FAR/FMR, FRR/FNMR, TAR, TNR and False Alarm Rate.

• Conceptual understanding of - and/or prior experiences related to - data profiling, fuzzy matching, entity resolution, and signal detection theory (specifically with respect to SD theory: designing and improving upon systems that monitor, minimize, and balance false positive and false negative outcomes).

• Conceptual understanding of - and/or prior experiences related to biometric performance using ROC, DET, CMC curves, Identification and detection rate curves and so forth.

• Conceptual understanding and knowledge of ISO/IEC 19795-1:2006 (or ISO/IEC NP 19795-1).

• Advanced - Master's degree Computer Science or Applied Mathematics or Computational Statistics preferred

• Agile

Customer Requirements:

• Clearance - Must be able to obtain a CBP BI Public Trust before starting work.

• Citizenship - ====

• LOCATION: Kingstowne, VA (Alexandria)

My SAIC Benefits.

Company Information

Dice Id : 10111346
Position Id : 2011208
Originally Posted : 1 month ago

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