Sr. Data Engineer
Cincinnati, OH, United States
Kroger
Providing our customers with the freshest products however they want to shop – with zero compromise on convenience, value or selection.Responsible for developing and delivering technological responses to targeted business outcomes. Analyze, design and develop enterprise data and information architecture deliverables, focusing on data as an asset for the enterprise. Understand and follow reusable standards, design patterns, guidelines, and configurations to deliver valuable data and information across the enterprise, including direct collaboration with 84.51, where needed. Utilize enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses. Leverage innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms. Define high-level migration plans to address the gaps between the current and future state. Analyze technology environments to detect critical deficiencies and recommend solutions for improvement. Draft architectural diagrams, interface specifications and other design documents. Must be able to perform the essential job functions of this position with or without reasonable accommodation. Duties may be located at any Kroger Co. office in U.S. Telecommuting from home office may be available per company policy.
MINIMUM POSITION QUALIFICATIONS:
- Bachelor's Degree (or foreign educational equivalent) in Computer Science or a closely related STEM field plus at least 4 years of experience in data engineering or a closely related field, including skills below
- OR, alternatively, a Master’s degree (or foreign educational equivalent) in Computer Science or a closely related STEM field plus at least 2 years of experience in data engineering or a closely related field, including skills below
Within this, must have 4 years or 2 years of experience (depending on degree held), in all of the following:
- Experience in data development and principles, including end-to-end design patterns
- Experience delivering large scale, high quality operational or analytical data systems
- Experience building complex data solutions that have been successfully delivered to customers
Within this, must have any amount of experience:
- In at least 2 of the following technical disciplines: data warehousing, big data management, analytics development, data science, APIs, data integration, cloud, servers and storage, and/or database management.
- Any amount of experience may have been gained concurrently
Desired Previous Job Experience:
N/A (See Minimum Position Qualifications)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture Big Data Computer Science Data management Data Warehousing Engineering NoSQL SQL STEM
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