SAS Developer

• Examine and interpret large datasets within Big Data environments (such as Hadoop and Hive) to validate data processing workflows and logic.

• Manage and monitor job scheduling through Control-M.

• Basic Linux scripting is optional; however, strong command-line proficiency is preferred.

• Collaborate with cross-functional teams to identify, troubleshoot, and resolve issues within agreed timelines.

Requirements

• Over 5 years of experience as a SAS Engineer handling extremely large datasets (petabyte scale).

• Advanced proficiency in SAS technologies, including Base SAS, SAS Macros, SAS SQL, Enterprise Guide, DI Studio, Stored Processes, SCL, and E-Miner.

• Practical experience working with Big Data tools, particularly Hadoop and Hive.

• Demonstrated expertise in data reconciliation and cross-system data validation.

• Strong knowledge of ETL methodologies, data warehousing concepts using Hadoop and Hive, and data quality best practices.

• Excellent analytical and problem-solving abilities with strong attention to detail.

• Effective communication skills and the ability to collaborate within cross-functional teams.

Preferred Qualification

• Background in the banking or financial services industry.

• Experience with automation testing frameworks focused on data validation.

• Familiarity with Altair tools such as Workbench, Hub, and SLC.

5 months contract, remotely