Advanced Data Engineer at Kroger Tech & Digital in Blue Ash, Ohio

Job Description:

The Kroger team is looking for a Data Engineer experienced in implementing data solutions in Azure. The Data Engineer will analyze, design, and develop enterprise data and information architecture deliverables, focusing on data as a product for the enterprise.

Accountable for leading activities that create deliverables to guide the direction, development, and delivery of technological responses to targeted business outcomes. Provide facilitation, analysis and design tasks required for the development of an enterprise's data and information architecture, focusing on data as an asset for the enterprise. Develop reusable standards, design patterns, guidelines, and configurations to evolve the technical infrastructure related to data and information across the enterprise, including direct collaboration with 84.51. 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, or software engineering, or related field
- Demonstrated written and oral communication skills
- Knowledge in a minimum of two of the following technical disciplines: data warehousing, data management, analytics development, data science, application programming interfaces (APIs), data integration, cloud, servers and storage, and database management
- Strong knowledge of industry trends and industry competition
- Basic understanding of network and data security architecture

• 2+ years of experience with Databricks including Unity Catalog
• 3+ years of experience with PySpark/Spark
• 5+ years of hands-on experience with data platforms
• 5+ years of hands-on experience in implementation and performance tuning massively parallel processing (MPP) databases
• Experience with Software Development and automation methodologies
• Experience with data security best practices
• Experience in implementing data services in Azure including Azure SQL, Cosmos DB, Databricks, ADLS, Blob Storage, ADF, Azure Stream Analytics

  Desired
  - Any experience building solutions using elastic architectures (preferably Microsoft Azure and Google Cloud Platform)
  - Any experience with data science solutions or platforms
  - Any experience with operational data science, machine learning or artificial intelligence solutions
  - Any experience with a variety of SQL, NoSQL and Big Data Platforms

  
  

- Participate in the development and communication of data strategy and roadmaps across the technology organization to support project portfolio and business strategy
- Participate in, and drive, the development and communication of enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses
- Provide technical leadership to ensure clarity between ongoing projects, including direct collaboration with 84.51
- Drive digital innovation by leveraging 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
- Present opportunities with cost/benefit analysis to leadership to shape sound architectural decisions
- Lead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvement
- Mentor team members in data principles, patterns, processes and practices
- Promote the reuse of data assets, including the management of the data catalog for reference
- Draft and review 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

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