Data Engineer

About AMEND:

AMEND is a management consulting firm based in Cincinnati, OH with areas of focus in operations, analytics, and technology. We are focused on strengthening the people, processes, and systems in organizations to generate a holistic transformation. Our three-tiered approach provides a distinct competitive edge and allows us to build strong relationships and create customized solutions for every client. This is an incredible time to step into a growing team where everyone is aligned to a common goal to change lives, transform businesses, and make a positive impact on anything we touch.

Overview:

The Data Engineer consultant role is an incredibly exciting position in the fastest growing segment of AMEND. You will be working to solve real-world problems by designing cutting edge analytic solutions while surrounded by a team of world class talent. You will be entering an environment of explosive growth with ample opportunity for development. We are looking for individuals who can go into a client and optimize (or re-design) companies data architecture, who are the combination of a change agent, technical leader and passionate about transforming companies for the better. We need someone who is a problem solver, a critical thinker, and is always wanting to go after new things; you’ll never be doing the same thing twice!

Job Tasks:

• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
• Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs
• Define project requirements by identifying project milestones, phases, and deliverables
• Execute project plan, report progress, identify and resolve problems, and recommend further actions
• Delegate tasks to appropriate resources as project requirements dictate
• Design, develop, and deliver audience training and adoption methods and materials