Data Engineer

Position Summary

The Data Engineer will be to support the internal organization in implementing and delivering strategies and results. You will be responsible for building, managing, and optimizing reusable enterprise data pipelines effectively and in a timely manner through the development lifecycle to be used by internal consumers, such as data analysts and data scientists. In this role, you will focus on building and enhancing our Revenue Management Automation (RMA) and Revenue 360 data assets. You will use both technical and analytical skills to understand and solve business problems using available resources and current technology stack, while ensuring data governance and data security compliance. You will also mentor junior engineers in finding optimal and efficient solutions for designing, preparing, and storing data for analytical and operational use cases.

Essential Duties and Responsibilities

• Create and maintain technical design documentation.
• Conduct requirements gathering, data mapping and designing.
• Create, build, and maintain complex data pipelines from disparate sources that meet functional / non-functional business requirements.
• Create, maintain, and refine existing ETL / ELT processes, employing a variety of data integration and data preparation tools.
• Develop event-based, real-time, and micro-batch data pipelines.
• Design and implement high-frequency data science model results for operational purposes.
• Mentor engineers in finding optimal and efficient solutions for designing, preparing, and storing data for analytical and operational use cases.
• Identify, design, and implement internal process improvements : automating manual processes, optimizing data delivery, re-designing pipelines for greater scalability, etc.
• Work with stakeholders including Product, Data and Business teams to assist with data-related technical issues and support their data needs.
• Create datasets for : (1) operational reports, key performance indicators / metrics, or other insights into current organizational activities, (2) analytics and data science to provide the ability to uncover the answers to major questions that help organizations make objective decisions and / or gain a competitive edge.
• Write, debug, and implement complex queries involving multiple tables or databases across platform(s)
• Collaborate with the Enterprise Architecture team to ensure alignment on data standards and processes.
• Work with data and analytics experts to strive for greater functionality in data systems.
• Position requires on-call and off-hours support.

Qualifications, Knowledge and Skills :