onsite
SAS Data Engineering Consultant
Software Engineer
Lead end‑to‑end data engineering projects using AWS, Azure, Alteryx, and Apache Spark, delivering scalable pipelines and advanced analytics for SAS environments.
About the role
Key Responsibilities
- Design, develop, and maintain data pipelines on AWS and Azure platforms, ensuring high availability and performance.
- Leverage Alteryx for rapid data preparation, transformation, and integration across heterogeneous sources.
- Implement Spark jobs for large‑scale data processing, optimizing code for speed and resource usage.
- Collaborate with data scientists and business analysts to translate requirements into robust data solutions.
- Monitor, troubleshoot, and optimize data workflows, applying best practices in security and governance.
Requirements
- Proven experience with AWS services (S3, Glue, Redshift, EMR) and Azure Data Factory.
- Strong proficiency in Apache Spark (PySpark/Scala) and Alteryx Designer.
- Solid SQL skills and familiarity with relational and columnar databases.
- Experience with SAS data structures and integration into modern data platforms.
- Excellent problem‑solving skills and ability to work in an Agile environment.
Skills
awsapache sparkazuresqlpython