Description

We work to solve deep technical problems that improve the world of Healthcare. These problems span a variety of core topics in computer science ranging from databases to distributed systems. We are looking for an Experienced Data Engineer for a 6-month contract (possibility to extend or convert to FTE) to join our new Data Organization.

Principle duties and responsibilities:

• Leads backend and ETL development effort for the Data Team.
• Designs, develops, and performance-tunes extraction, transformation, and load (ETL) processes using SQL, PySpark or Python source-to-target data mappings.
• Analyzing Use Case requirements and working with teammates to implement defined functionality.
• Provide architectural guidance and development/build standards for the team.
• Promoting collaboration through activities such as design sessions, design reviews, pair programming, etc.,

Required Qualifications & Skills:

• Bachelor’s degree in Computer Science, Computer Engineering or Information Technology
• 8 years of data engineering experience building business intelligence applications with exceptional SQL, PL/SQL, and/or Python skills
• 5 years of experience of ETL development in a big data environment
• 5 years working in an agile development environment.
• Experience developing in an AWS environment using S3, EC2, Redshift, Glue, Athena and RDS

• Strong ownership, urgency, and drive to ship code

• Ability to think outside the normal concepts to implement
• Ability to communicate technical concepts and designs to cross functional teams and off shore teams with varying degrees of technical experience.
• Displays flexibility in adapting to changing conditions.
• Strong team player, makes a valuable contribution to team objectives, displays trust and mutual understanding, accepts constructive feedback, and handles confrontation constructively.

Preferred Qualifications & Skills

• Application/system architecture experience
• Experience with AWS Services RedShift Spectrum, Elastic Search, API Gateway and Lambda