Description

You will lead the migration of legacy SAS workloads to cloud and containerized platform solutions.

Responsibilities

• Convert existing SAS-based pipelines to PySpark for execution on distributed ecosystems.
• Design and implement scalable, high-performance data pipelines and technical architectures.
• Collaborate with stakeholders to document dataflows, capture requirements, and define target-state solutions.
• Manage the transition of workloads to cloud platforms while enforcing data governance and quality policies.
• Research and integrate open-source technologies and components into system designs.

Required Skills

• 8+ years of experience in data engineering and designing large-scale data platforms.
• 3+ years of experience in a lead or architect role.
• 2+ years of hands-on experience with SAS coding.
• 2+ years of experience developing data solutions on AWS or GCP.
• Proficiency with Python, PySpark, or Scala, including basic machine learning libraries.
• Hands-on experience with containerization using Docker and Kubernetes.
• Expert knowledge of data warehousing concepts and distributed systems.
• Bachelor of Computer Science degree.

Preferred Skills

• Relevant industry certifications.
• Experience with Agile (Scrum) development methodologies.

Key Skills

Education

BACHELOR OF COMPUTER SCIENCE