Hi
ONLY GENUINE PROFILEPlease reply to [email protected] MUST INCLUDE REQ ID# GA84121 IN SUBJCT OF EMAILHOT REQUIREMENT PO GUARANTEED PO WITHIN 24 HOURS, ONLY ONE ROUND OF INTERVIEW. START DATE WITHIN 1 WEEK.
RATE:$40/HR C2C
LOCATION: 100% REMOTE
VISA: USC/GC/H1B/OPT/CPT/ANY VISA

EAST COAST HOURS

Duties/Responsibilities:
Utilizing SAS Data Management products to design and develop ETL jobs for large data feeds and support complex data transactions on a SAS platform.
Integrate and manage the data mappings from the client's data sources (JSON, Delimited files, SAS data sets).
Analyze execution plans and Improve ETL job efficiencies, correct ETL defects and respond quickly to ETL fix and enhancement requests.
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. Mining large datasets, to extract analytic working files using SAS and SQL Managing time effectively across multiple projects
Required skills: 7+ plus years of overall experience in design and development of applications.
Position requires knowledge of Base SAS, SAS Macros, Proc SQL, SAS/STAT, SAS/SQL, etc. Working experience with mathematics, statistics, quantitative SAS functions, SAS Macros Proficiency with Linux/Unix shell scripting Solid analytical and problem-solving skills Ability to work independently and with a team
Ability to build and maintain SAS Data Integration Studio jobs, manage job flows within the Platform Load Sharing Facility, and troubleshoot job failures. Experience importing, transforming, merging, and cleaning data, including running quality checks Familiarity with Agile development frameworks and development of productions systems including proficiency with using JIRA
Preferred skills: Prefer experience with Snowflake, AWS S3 and Minio Experience with Python and packages such as SASPy Knowledge and Experience with SAS Viya
Preferred experience of independent SAS development work related to statistical and mathematical models including variance estimations.

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