This role involves developing and maintaining data pipelines, ensuring data quality, and supporting analytics and system implementation efforts. The ideal candidate will have strong SAS programming skills, working knowledge of Python, and experience handling large-scale data processing.
Key Responsibilities • Develop, maintain, and enhance SAS programs • Perform data extraction, transformation, and validation to ensure data quality • Design and develop Python-based solutions using object-oriented programming • Build and maintain ETL pipelines for data cleaning and transformation • Work with Oracle databases to manage and process data • Analyze and troubleshoot data issues, ensuring accuracy and integrity • Support A/B comparison analysis and data reconciliation activities • Participate in system testing (SIT & UAT), validation, and deployment activities
Requirements • Certification: SAS Certified Specialist - Base Programming Using SAS 9.4 • Hands-on experience with SAS programming (preferred) • Experience in data quality and data processing (preferred) • Optional proficiency in Python, including: • Classes, functions, and object-oriented programming • Libraries such as CxOracle and Pandas • ETL data processing and data cleaning • Intermediate proficiency in SQL (Oracle) • Basic knowledge of GitHub
Soft Skills • Strong problem-solving and analytical skills • Good troubleshooting capability • Data analytics mindset • Positive working attitude and accountability • Team player with strong collaboration skills • Good to Have • Experience working with government or large enterprise data systems • Exposure to data migration or system revamp projects
If you are interested in this position, please click "Apply Now" and we will review your qualifications & reach out to you for further discussion & next steps. Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.
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