SAS Developer

3 - 7 years

0 Lacs

Posted:20 hours ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

Role Overview: As a SAS Developer at Capgemini, your primary responsibility will be to design, develop, and maintain SAS-based ETL processes and data integration workflows. You will collaborate with business analysts and technical teams to translate business requirements into efficient SAS solutions. Additionally, you will create data dissemination mechanisms to summarize and deliver data into DB2 and Teradata for downstream reporting tools like Cognos. Your role will also involve supporting scheduling and automation of jobs using LSF, Cron-tab, TWS, or Unix and ensuring robust error handling, data validation, and performance tuning of SAS ETL processes. You will participate in the full project lifecycle from development to implementation, including unit testing and UAT. Furthermore, you will work closely with stakeholders to provide guidance on SAS tools, coding techniques, and statistical methodologies. Key Responsibilities: - Develop and optimize SAS DI jobs and flows for data extraction, transformation, and loading. - Perform data analytics, data lineage reviews, and ensure data quality using SAS Enterprise Guide and Data Integration Studio. - Assist in maintaining SAS infrastructure both on-premises and on AWS Cloud. - Support scheduling and automation of jobs using LSF, Cron-tab, TWS, or Unix. - Participate in full project lifecycle from development to implementation, including unit testing and UAT. - Work closely with stakeholders to provide guidance on SAS tools, coding techniques, and statistical methodologies. Qualifications Required: - Proficiency in SAS DI and SAS Enterprise Guide for ETL and data integration. - Strong knowledge of SAS Base programming and advanced SAS functions. - Experience in SQL and database handling across DB2, Oracle, MySQL, and Teradata. - Ability to design and implement data pipelines from multiple sources and formats. - Familiarity with data quality analysis, error handling, and performance optimization. - Understanding of Type I and Type II slowly changing dimensions in ETL. - Knowledge of job scheduling and automation using LSF, Cron-tab, TWS. - Exposure to SAS Management Console and Platform Process Manager. - Familiarity with cloud environments (AWS) for SAS infrastructure. - Strong analytical and problem-solving skills with experience in Finance/Credit Risk domain. - Added advantage: Knowledge of DBT for data transformation. (Note: The additional details about Capgemini and the benefits provided to employees have been omitted as per the instructions),

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Capgemini

IT Services and IT Consulting

Paris France

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