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SAS Data Management Developer

Reference Number: RKTXSD13

SAS Data Management Developer
experience  Not Disclosed
location  San Antonio, TX
duration  3.0 Months
salary  Not Disclosed
jobtype  Not Disclosed
Industry  Government - Local
Job Description


Client is seeking a full-time SAS Data Management developer to work with our client.

The Data Analytics team manages the Advanced Metering Infrastructure (AMI), The Meter Data Management (MDM) and Big Data Analytics (BDAP) systems; builds dynamic informational dashboards; performs deep dive analysis; programs mathematical models for forecasting; and implements process improvement automation. The Data Engineer is familiar with big data concepts including data lakes and data warehouse design with an awareness of system performance as solutions are developed. This position will design, develop, and support ETL jobs for large data feeds and complex data warehouse transactions. The Data Engineer is responsible for troubleshooting system security, system performance, ETL job errors, data analysis, validation, and identifying data quality issues. This position utilizes numerous SAS Data management products including Data Integration Studio 4.9 and Data Flux Data Management Studio 2.8 for data quality which operate on a Windows and Linux/UNIX platforms. Client has Viya environments as well.


• A minimum of Bachelor’s degree in Mathematics, Computer Science, Business Administration, or a related field is required and equivalent work experience required.
• At least 3-5 years of SAS Programming and 3-5 years of SQL
• Experience developing reports and content with SAS 9.4 and\or Viya including:
• 3+ years of SAS\SQL programming, data architecting and technical design.
• Be proficient in Base SAS programming (DATA step), SQL programming (i.e., use of SQL pass-through or PROC SQL), as well as the SAS Macro language for use in making code more efficient.
• Integrate and transform disparate data sources, determining the appropriate data hygiene techniques to be applied
• Develop and launch extremely efficient and reliable SAS Data Integration Studio jobs to move data across platforms including data warehouse and online caches, and to provide intuitive analytics to stakeholders
• Develop and maintain scalable data pipelines to support continuing increases in data volume and complexity.
• Make large-scale and complex data more discoverable and easier to use for system users
• Collaborate with the team to discover the best solutions to operationalize insights and algorithms
• Contribute to shared Data Engineering tooling & standards to improve the productivity and quality of output for other system users
• Improve data quality by using & improving tools to automatically detect issues
• Build data models to deliver insightful analytics while ensuring the highest standard in data integrity
• Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for business processes that depend on it
• Collaborate with developers, subject matter experts and business users in gathering and documenting requirements for data extraction and transformation
• Develop and improve MS-SQL Server processes as needed
• Perform code reviews, analyze execution plans, improve ETL jobs efficiencies, correct ETL defects and respond quickly to fixes and enhancement requests
• Follow design standards for ETL processes
• Analyze, assess and implement changes to existing solutions in response to business changes
• Maintain system security and user permissions
• Good written and spoken communications skills in English and thought-leadership skills.


• Maintain regular attendance; leave schedule should be managed so as to not interfere with ability to accomplish tasks, including special projects and as Maintain regular attendance; leave schedule should be managed so as to not interfere with ability to accomplish tasks, including special projects and assignments with deadlines or negatively affect direct reports' ability to do their jobs when applicable
• Adhere to client’s safety guidelines and practices at all times and in all situations
• Maintain a clean and safe work area, office, field site and vehicle as applicable
• Develop & maintain effective customer service skills for communications with co-workers, customers and the public in general
• Maintain strict confidentiality of business, employee and customer information in written and oral communications and safeguard sensitive documents
• Adhere to client’s policies and procedures
• Exemplifies client’s Core Values of Integrity, Stewardship, Team and Safety
• Participate in and support initiatives to reach annual client’s Performance Measures
VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status

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