Job ID:
J38357
Job Title:
SAS Data Management
Location:
Washington, DC
Duration:
12 Months + Extension
Hourly Rate:
Depending on Experience (DOE)
Work Authorization:
US Citizen, Green Card, OPT-EAD, CPT, H-1B,
H4-EAD, L2-EAD, GC-EAD
Client:
To Be Discussed Later
Employment Type:
W-2, 1099, C2C
Position Title: SAS Data Management Expert
Location: Washington DC 20260
Duration: Long Term Contract
Job Description:
Utilizing SAS Data Management products such as Data Integration Studio and SAS Data Management 4.9, design and develop ETL jobs for large data feeds and support complex data transactions on a SAS platform;
Offer expert architecture design approaches to data management, while being able to transform and resolve disparate entities to a common entity in order to expose those entities to the connected Visual Investigator software packages;
Build and maintain SAS Data Integration Studio jobs, manage job flows within the Platform Load Sharing Facility, and troubleshoot job failures;
Integrate and manage the data mappings from the client's data sources (MS-SQL, Oracle, Teradata) to the SAS Oracle Database using SAS Data Management Services;
Perform code reviews;
Analyze execution plans; and
Improve ETL job efficiencies, correct ETL defects and respond quickly to ETL fix and enhancement requests.
Required Skills/Experience
" Expert knowledge with SAS Data Management (DM) Studio and SAS Data Integration (DI) Studio 4.9 or higher;
Ability to build and maintain SAS Data Integration Studio jobs, manage job flows within the Platform Load Sharing Facility, and troubleshoot job failures;
Knowledge of SAS architecture a plus;
SAS programming experience a plus;
Proficiency with Linux/Unix shell scripting;
Experience with server and SAS software configuration, including Metadata, on a Linux platform;
Understanding of SAS-related hardware and software interactions to optimize the system settings that will drive out the best performance of the solution and ensure proper integration of other SAS software;
High level of skill in scheduling routines, developing routines or scripting routines in SAS code in order to manage, at a minimum, daily data extraction routines from source data systems; and
Data Modeling, Data Architecting, and Extract, Transform and Load (ETL) development expertise.
MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract