Senior Data Engineer - Kroger Tech & Digital

The Senior Data Engineer supporting the Cost Domain will create and maintain complex data pipelines that allow cost data to be collected, stored, accessed efficiently. Leverage a modern, cloud-native tech stack to re-architect solutions for the cost domain at Kroger by conducting design analyses, leading architectural discussions, and delegating software stories to other data engineers software engineers.

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 computer science, software engineering, or related field
- Excellent oral/written communication skills

Desired
- Any experience with SSAS Tabular models, Power BI, Dataflows and DAX
- Any experience building solutions using elastic architectures (preferably Microsoft Azure and Google Cloud Platform)
- Any experience with a variety of SQL, NoSQL and Big Data Platforms
- Any experience with data science solutions or platforms
- Any experience with streaming technologies like Kafka, IBM MQ and EventHub
- Any experience with Python, Spark and SQL
- Any experience with Azure Data Platform stack: Azure Data Lake, Data Factory and Databricks

• Domain Driven Design
• Azure Cloud Solutions/ Google Cloud Platform
• Databricks
• Apache Spark
• Python/Scala
• Distributed Systems
• Data Analysis

The day to day operations for such a role would entail conversing with the product team to understand data related OKRs, brainstorming on design documentations, obtaining architectural approvals, delegating milestones across the team, performing code reviews and leading releases.

The Senior Data Engineer will work to enable the cost domain to use data effectively for making decisions, understanding stakeholders needs, and improving gross margin and gross profit for MX. Additionally, provides the necessary data insight for cost analysis, optimization, and strategic decision-making.

- 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