Big Data Analytics Engineer

We are seeking a candidate to work closely with the data science group and software engineering group to develop and implement a full end-to-end Cloud solution for our analytics backend.

The successful candidate will have the opportunity to work collaboratively with interdisciplinary scientists, organize challenging problems, develop new solutions, and work with business & development teams to ensure these solutions deliver value.

Location:

St. Louis, Missouri

Duration:
Full Time

The candidate will be responsible for developing and implementing a full end-to-end Cloud solution for our analytics backend, including Infrastructure Design, Platform, Automation, and Storage Architecture.

• Master’s Degree in Computer Science, Engineering, or a related field
• 3+ years post education work experience
• Strong object-oriented and/or functional programming experience with at least 3+ years of experience using Python
• Experience with virtualized infrastructure and Infrastructure as a Service (I-a-a-S) such as Amazon Web Services, or Google Compute Engine
• Experience with Big data ecosystem including H-base, Mongo-DB, Map-Reduce, and Spark
• Understanding of developing systems and software around API’s and creating services and micro services
• Excellent verbal and written communication skills
• Excellent project management skills, demonstrated ability to deliver detailed technical documentation and manage tasks
• Comfortable working in a dynamic environment and developing flexible solutions to meet evolving requirements

• Big Data, Python, including H-base, Mongo-DB, Map-Reduce, and Spark

We are an equal opportunities employer and all your information will be kept confidential according to EEO guidelines.