Senior Data Engineer
AMEND Consulting
- Cincinnati, Ohio, United States
- Cincinnati, Ohio, United States
À propos
Overview The Senior 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 dictateDesign, develop, and deliver audience training and adoption methods and materials
Qualifications
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Databricks and DBT experience is a plus
Experience building and optimizing data pipelines, architectures, and data sets
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Strong analytic skills related to working with structured and unstructured datasets
Build processes supporting data transformation, data structures, metadata, dependency, and workload management
A successful history of manipulating, processing, and extracting value from large, disconnected datasets
Ability to interface with multiple other business functions (internally and externally)
Desire to build analytical competencies in others within the business
Curiosity to ask questions and challenge the status quo
Creativity to devise out-of-the-box solutions
Ability to travel as needed to meet client requirements
What's in it for you?
Competitive pay and bonus
Travel incentive bonus structure
Flexible time off
Investment in your growth and development
Full health, vision, dental and life benefits
Paid parental leave
3:1 charity match
All this to say – we are looking for talented people who are excited to make an impact on our clients. If this job description isn't a perfect match for your skillset, but you are talented, eager to learn, and passionate about our work, please apply! Our recruiting process is centered around you as an individual and finding the best place for you to thrive at AMEND, whether it be with the specific title on this posting or something different. One recruiting conversation with us has the potential to open you up to our entire network of opportunities, so why not give it a shot? We're looking forward to connecting with you.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of employment Visa at this time.
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Compétences linguistiques
- English
Avis aux utilisateurs
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