DevOps Engineer - Database and ETL Platforms

Evaluates, automates, and optimizes processes, building infrastructure through code and streamlining pipelines, monitoring, and incident response processes, following industry standards and best practices

Develop ETL pipelines, and automation to extract source data, transform to map to the target model and/or cleanse the data, and load into a data warehouse or analytical model

Configure the operational and analytical database(s) to host data, and develop data marts to meet the business requirements

Optimize the ETL data pipelines code and configure data interface tools and APIs as needed

Create visualizations via PowerBI and other tools

Follows the SDLC process and adheres to company coding standards to produce high quality software

Able to learn quickly and automate, integrate, deploy, or release solutions using tools, scripting, or coding as needed.

Continuously striving for improvement, evaluating new approaches, industry standards, new tooling, etc. and producing recommendations for improvements

Maintains established SLAs, SLIs, SLOs, and monitors systems, assessing lead time for changes, change failure rate, deployment frequency, mean time to recover, and availability, striving for continuous operational improvement and improved user satisfaction

Proficient at problem management including definition, brainstorming, and determining a resolution through collaboration

Establishes and maintains thorough and accurate documentation of all work; communicates technical issues within scope of assignment; Produces and reviews technical specification documentation

Maintain revision control of developed software according to company guidelines