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SAS Developer

3 - 5 years

4 - 8 Lacs

Posted:5 hours ago| Platform: Naukri logo

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Full Time

Job Description


 Educational  
Bachelor of Engineering  Service Line 
Data & Analytics Unit Responsibilities 
Base SAS Certified professional.Develop, implement, and optimize analytical models using SAS and SQL.Strong Knowledge within SAS DI,SAS EG, SAS BI tools.Analyze large datasets to derive actionable insights and support business decision-making.Design, implement, and maintain ETL workflows to extract, transform, and load data efficiently.Develop advanced SAS programs using SAS Macros for automation and data processing.Troubleshoot and optimize SAS code for performance improvements.Work on data warehousing projects to enable efficient data storage and retrieval.Basic Unix Scripts related Knowledge.JL5B- 8+ Years of ExperienceAdvanced SAS Certified with 5+Worked on Min 2SAS Migration Projects execution.Strong Knowledge within SAS DI,SAS EG, SAS BI tools.SAS Migration Projects to SAS Scripts to Python, Pyspark, Databricks, ADF and Snowflake etc.Good Knowledge within SAS VIYA 3.4,4.0 platforms.Good Knowledge on SAS- SMC, LSF and other Schedulers Basic Knowledge on SAS Admin information, Basic SAS Grid level Knowledge.Good Unix commands, Scripts related Knowledge.Handle case studies or complex data scenarios, ensuring data quality and integrity.Develop advanced SAS programs using SAS Macros for automation and data processing.Troubleshoot and optimize SAS code for performance improvements.Collaborate with the data engineering team to build and manage robust data pipelines.Work on data warehousing projects to enable efficient data storage and retrieval.Present findings and insights clearly to both technical and non-technical stakeholders.Work closely with teams across departments to gather requirements and deliver solutions Technical and Professional : 
Min 5+ years in the analytics domain, with a strong portfolio of relevant projects.Proficiency in SAS, SAS Macros, and SQL.Hands-on experience in ETL processes and tools.Knowledge of data engineering concepts and data warehousing best practices.  Preferred
Skills:
  •  
    Technology-Reporting Analytics & Visualization-SAS Enterprise Guide
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