Senior Data Engineer

PSL Group

PSL Group is a global leader in medical information services, dedicated to advancing healthcare. They aim to enhance medical care through scientific communication and education. The Senior Data Engineer plays a crucial role in optimizing data processes and infrastructure, critical to the company's mission.

In this role you can expect to have the responsibilities:

• Develop infrastructure for optimal data pipelines using Python, AWS, and big data technologies.
• Maintain and create data pipelines with Kinesis, Glue, and Lambda.
• Manage databases like PostgreSQL, Snowflake, Redshift, and ElasticSearch.
• Monitor performance using Cloudwatch and Cloudtrail, advising on infrastructure improvements.
• Implement internal process improvements for better scalability and efficiency.
• Create data tools for analytics and data science teams to optimize the data hub.

This role comes with the following benefits:

• Opportunity to contribute to a state-of-the-art medical care service.
• Work remotely with a global team.

This role requires you to have:

• 4+ years of experience with cloud production systems, preferably AWS.
• Strong understanding of SQL and noSQL database design.
• Proficiency in Python.
• Excellent analytical and problem-solving skills.
• Experience in data cleansing and wrangling.
• Advanced SQL knowledge and relational database experience.
• Experience with data pipeline tools like Streamsets.

You would benefit from having:

• Prior experience in Master Data Management.
• Experience with version control systems like github or bitbucket.

PSL Group focuses on enhancing the effectiveness of scientific communication and medical education while maintaining strong clinician relationships.