Description

You will lead the migration of legacy SAS workloads to cloud and containerized platforms while designing scalable data architectures.

This role is on-site.

Responsibilities

• Convert existing SAS-based pipelines to PySpark for distributed execution.
• Design and implement scalable data pipelines and technical architectures.
• Collaborate with stakeholders to document dataflows and define target-state solutions.
• Manage workload transitions to cloud platforms while enforcing data governance and quality policies.
• Research and integrate open-source technologies into system designs.

Required Skills

• 8+ years of experience in data engineering and large-scale data platform design.
• 3+ years in a lead or architect role.
• 2+ years of hands-on SAS coding experience.
• 2+ years developing data solutions on AWS or GCP.
• Proficiency in Python, PySpark, or Scala, including basic machine learning libraries.
• Hands-on experience with Docker and Kubernetes containerization.
• 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