SENIOR DATA ENGINEER at The Kroger Co. in Blue Ash, Ohio

Job Description:

MX Core Data (Data Platform) team enables the merchandising teams to build new capabilities by accessing quality data easily & securely. This team provides infrastructure support, defines best practices, governance and builds reusable components which accelerates the speed to market. This team was onboarded in Q2 2023 & currently have more than 200 active users and more than 15 key business capabilities.

Accountable 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. Demonstrate the company's core values of respect, honesty, integrity, diversity, inclusion and safety.From one tiny Cincinnati grocery store more than a century ago, we've grown into what today is the nation's largest grocer with nearly 2,800 stores in 35 states operating under 28 different names. As America's grocer, we take pride in bringing diverse teams with a passion for food and people together with one common purpose: To Feed the Human Spirit. With a history of innovation, we work tirelessly to create amazing experiences for our customers, communities AND each other, with food at the heart of it all.

Here, people matter. That's why we strive to provide the ingredients you need to create your own recipe for success at work and in life. We help feed your future by providing the value and care you need to grow. If you're caring, purpose-driven and hungry to learn, your potential is unlimited.

Whether you're seeking a part-time position or a new career path, we've got a fresh opportunity for you. Apply today to become part of our Kroger family!Minimum

• Bachelor's Degree in computer science, software engineering, or related field


• 4+ years experience in the data development and principles including end-to-end design patterns


• 4+ years proven track record of delivering large scale, high quality operational or analytical data systems


• 4+ years successful and applicable experience building complex data solutions that have been successfully delivered to customers


• Any experience in a minimum of two of the following technical disciplines: data warehousing, big data management, analytics development, data science, application programming interfaces (APIs), data integration, cloud, servers and storage, and database management


• Excellent oral/written communication skills

Desired

• Any experience with SSAS Tabular models, Power BI, Dataflows and DAX


• Any experience with Azure Data Platform stack: Azure Data Lake, Data Factory and Databricks


• Any experience with Python, Spark and SQL


• Any experience with Terraform


• Any experience with streaming technologies like Kafka, IBM MQ and EventHub


• Any experience with data science solutions or platforms


• Any experience with a variety of SQL, NoSQL and Big Data Platforms


• Any experience building solutions using elastic architectures (preferably Microsoft Azure and Google Cloud Platform)

• Utilize enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses


• Ensure there is clarity between ongoing projects, escalating when necessary, including direct collaboration with 84.51


• 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


• Contribute to the development of cost/benefit analysis for leadership to shape sound architectural decisions


• Analyze technology environments to detect critical deficiencies and recommend solutions for improvement


• Promote the reuse of data assets, including the management of the data catalog for reference


• 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

This engineer will be responsible for partnering with users of the platform guide them to follow best practices, building new use cases to support the product teams, support & monitor the platform to keep cost low and improve performance. Partner with external vendors Databricks & azure to learn industry best practices and influence teams in MX to leverage the same.

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