Description

Lead data engineering efforts with a focus on performance engineering and non-functional requirements in the pharmaceutical domain.

Responsibilities

• Drive performance engineering tracks within the project lifecycle.
• Provide technical inputs for planning activities to meet non-functional requirements.
• Participate in customer discussions to elicit and analyze system requirements.
• Utilize storyboarding, use case analysis, and agile user stories to define requirements.

Required Skills

• 12+ years of professional experience in data engineering.
• Expertise in AWS and Databricks environments.
• Strong proficiency in Python and PySpark.
• Advanced SQL skills for complex data manipulation.
• Deep understanding of Cloud data architectures and ETL processes.
• Experience implementing Data Quality and metadata management frameworks.
• Proven ability in requirement elicitation and analysis.

Preferred Skills

• Bachelor's degree in a relevant field.
• Pharma domain experience.

Key Skills

Education

Bachelor's degree