Overview
On Site
$120,000 - $140,000
Full Time
Skills
SAS
AWS
Python/Pyspark/Scala
Docker or Kubernetes
Job Details
Senior SAS Analyst/ Architect
Required Skills:
8+ years of experience in data engineering, with a proven track record of designing, building, and maintaining large-scale data platforms.
3+ years of experience in a lead or architect role, demonstrating strong leadership and mentorship skills.
2+ year experience in SAS coding
2+ year of experience working on Google or AWS cloud developing data solutions. Certifications preferred
Expert-level understanding of data warehousing concepts, distributed systems, and cloud-based data platforms (AWS, Google Cloud Platform).
Hands-on experience with Python/Pyspark/Scala and basic libraries for machine learning is required
Experience with containerization and related technologies (e.g. Docker, Kubernetes) is a must
Knowledge of agile (scrum) development methodology is a plus
Strong development/automation skills
Can-do attitude on solving complex business problems, good interpersonal and teamwork skills
Possess great communication skills and must be able to directly work with business team to collect, analyze and put together appropriate requirements and solutions
Responsibilities:
Ability to discuss requirements with key stakeholders, document dataflow and capture requirements. Critical thinking target state on adaptable solution and recommend teams to drive best solution into implementation
Implement scalable, high-performance data pipelines to support complex data processing needs and enforce data governance policies, ensuring data quality, Integration to audit tools
Drive innovation by researching and recommending cutting-edge technologies and solutions to enhance data processing, storage, and analysis capabilities
Able to develop high-level and detailed technical design and solutions considering scalability, security, and performance of systems
Identify opportunities for process improvements and contribute to optimization efforts individually
Identify and resolve technical issues that arise during the solution life cycle
Experience in business process modeling and documentation tools
Responsible for moving all legacy SAS Workloads to cloud/Container platform solutions
Ability to research and assess open-source technologies and components to recommend and integrate into the design and implementation
Analyze Current Model SAS code and convert SAS based pipelines to PySpark to execute on distributed ecosystems
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.