Within our Texas mass markets retail business, which includes Reliant Energy, we aim to promote customized offerings: the right product offered through the right channel, with the right message at the right time for each current or prospective customer. To accomplish this, we leverage our data via predictive modeling, statistical analyses, and optimization. We are looking for a talented software developer to develop Python packages to streamline our analytics work; enable common, scalable analytical computing environments on demand; and deploy our reports and predictive models into production. This position is part Software Engineer, part DevOps Engineer, and part Data Engineer. If you like variety and starting projects from scratch, this is the job for you!
Responsibilities:
Essential Duties/Responsibilities:
Develop custom Python packages to help our analysts connect to various data sources; provide convenient methods of joining and transforming data in ways common to our workflow
Prepare a common analytics environment that analysts can deploy on demand via internal cloud or Amazon Web Services, and access via Jupyter Notebooks
Mentoring code development best practices.
Automate data pipelines
Deploy predictive models and reports into production
Manage Git Repositories
Education:
Degree (BS, MS, or PhD) in Computer Science, Electrical and Computer Engineering, Software Engineering, or Information Systems preferred; any STEM BS, MS or PhD with appropriate work experience will be considered.
Experience:
0-5 years of professional Python software design and development
Experience with Amazon Web Services a plus
Experience with administering an open source database such as PostgreSQL or MySQL a plus
Experience with Hadoop/Spark a plus
Linux administration experience a plus
Technical Skills:
Expert-level Python programming
Test-driven development
Monitoring systems and data pipelines
Proficient with the following Python packages: SQLAlchemy, flask, pandas, sphinx, and pytest
Linux server administration
Git
SQL
Continuous Integration Deployment (Gitlab-ci, Ansible, Jenkins, or equivalent)
Containerized Environments (Docker, LXC)
Additional Knowledge, Skills and Abilities:
Ability to design Python software from scratch
Desire to automate everything
Good communication skills
Independent and self-driven worker
Creative problem solver