Overview
Hybrid
Depends on Experience
Full Time
Skills
Apache Spark
Big Data
Collaboration
Communication
Computerized System Validation
Conflict Resolution
Data Architecture
Data Flow
Data Manipulation
Data Modeling
Data Security
Distributed Computing
ELT
Extract
Transform
Load
Leadership
Mainframe
Management
Meta-data Management
Microsoft Excel
Migration
Privacy
Problem Solving
PySpark
Python
Regulatory Compliance
SAS
SAS/BASE
SQL
Scala
Scripting
Stored Procedures
System Integration Testing
Team Building
Unit Testing
Job Details
Job Description
Responsibilities: Analyze SAS programs to understand sources, dependencies, data flow. Sanitize SAS programs in preparation for conversion. Optimize SAS programs in preparation for conversion. Incorporate changes in accelerator to ensure generated code aligns to required standards Utilize accelerator to convert SAS programs to PySpark programs. Demonstrate and document code lineage. Unit Test generated PySpark programs Incorporate feedback from PySpark EAP integration, SIT and parity-check. Prepare for deployment. Experience analyzing and understanding SAS processes and statistical methods to identify trends, patterns, and correlations. Proficiency in SAS programming and tools Developing and maintaining SAS programs for automation and analysis. Proven expertise in Spark, SQL, including data pipeline and notebook development. Troubleshooting user issues and resolving system errors. Managing SAS jobs and schedules and working with SAS metadata. Migration of SAS Jobs, Stored Procedures, SAS Programs, Reports, SAS Datasets, Excel, and CSV files from Development to Production Environment. Ensure compliance with data security, privacy regulations, and organizational standards. Qualifications: 4+ years of experience in SAS Base. Exposure to Python, PySpark Development and SQL knowledge is good to have. Experience in SAS Mainframe (Good to have). Strong understanding of data architecture, data modelling, and ETL/ELT processes. Experience with big data processing and distributed computing systems like Spark. Proficient in Python and Scala scripting for data manipulation and analysis. Excellent communication, collaboration, and problem-solving skills. Strong leadership and team-building abilities.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.