SAS Developer

Capgemini • Atlanta, GA

2d

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Job DescriptionRole SAS DeveloperRole OverviewWe are seeking an experienced SAS Developer with around 5 years of handson expertise in SAS programming data management analytics and reporting The candidate should be proficient in Base SAS Advanced SAS SQL and working with large datasets in a business or analytics environmentKey ResponsibilitiesDevelop maintain and optimize SAS programs for data extraction transformation analysis and reportingBuild ETL workflows data pipelines and automated SAS jobsWork with stakeholders to understand requirements and deliver analytical datasets reports dashboards and insights using SAS toolsPerform data validation cleansing and quality checks to ensure accuracy and consistencyDevelop SAS macros stored processes and reusable coding componentsWork with large complex datasets from multiple sources databases flat files cloud systemsCollaborate with crossfunctional teams such as data engineering BI and business analyticsOptimize program performance and improve efficiency in SAS Base SAS StudioEG or SAS GridDocument technical specifications data flows and coding logicTroubleshoot and resolve issues related to SAS jobs scheduling and data discrepanciesRequired Skills Qualifications5 years of handson experience in SAS programmingStrong knowledge ofBase SASAdvanced SAS Macros SQL PROC SQLSAS Enterprise Guide EGSAS DI Studio optional but preferredProficiency in SQL and relational databases Oracle SQL Server Teradata etcExperience with ETL processes and data warehousing conceptsGood understanding of data analysis statistical concepts and reportingAbility to work with large datasets and optimize SAS jobsStrong analytical problemsolving and communication skillsGood to HaveExperience in banking finance healthcare or pharma domainsExposure to cloud platforms AWS Azure or SAS CloudKnowledge of PythonR for analytics optionalFamiliarity with BI tools Power BITableauExperience with job schedulers like ControlM Autosys etcEducationBachelors degree in Computer Science Information Technology Engineering Statistics Mathematics or related fieldSAS Certifications BaseAdvanced are a plusey Responsibilities Develop maintain and optimize SAS programs for data extraction transformation analysis and reporting Build ETL workflows data pipelines and automated SAS jobs Work with stakeholders to understand requirements and deliver analytical datasets reports dashboards and insights using SAS tools Perform data validation cleansing and quality checks to ensure accuracy and consistency Develop SAS macros stored processes and reusable coding components Work with large complex datasets from multiple sources databases flat files cloud systems Collaborate with crossfunctional teams such as data engineering BI and business analytics Optimize program performance and improve efficiency in SAS Base SAS StudioEG or SAS Grid Document technical specifications data flows and coding logic Troubleshoot and resolve issues related to SAS jobs scheduling and data discrepancies

Requirements

• 5 years of handson experience in SAS programming
• Strong knowledge ofBase SASAdvanced SAS Macros SQL PROC SQL
• SAS Enterprise Guide EGSAS DI Studio optional but preferred
• Proficiency in SQL and relational databases Oracle SQL Server Teradata etc
• Experience with ETL processes and data warehousing concepts
• Good understanding of data analysis statistical concepts and reporting
• Ability to work with large datasets and optimize SAS jobs
• Strong analytical problemsolving and communication skills

Nice To Haves

• Experience in banking finance healthcare or pharma domains
• Exposure to cloud platforms AWS Azure or SAS Cloud
• Knowledge of PythonR for analytics optional
• Familiarity with BI tools Power BITableau
• Experience with job schedulers like ControlM Autosys etc

Responsibilities

• Develop maintain and optimize SAS programs for data extraction transformation analysis and reporting
• Build ETL workflows data pipelines and automated SAS jobs
• Work with stakeholders to understand requirements and deliver analytical datasets reports dashboards and insights using SAS tools
• Perform data validation cleansing and quality checks to ensure accuracy and consistency
• Develop SAS macros stored processes and reusable coding components
• Work with large complex datasets from multiple sources databases flat files cloud systems
• Collaborate with crossfunctional teams such as data engineering BI and business analytics
• Optimize program performance and improve efficiency in SAS Base SAS StudioEG or SAS Grid
• Document technical specifications data flows and coding logic
• Troubleshoot and resolve issues related to SAS jobs scheduling and data discrepancies

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees