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, GCP).

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

Salary Range- $125,000-$140,000 a year