Senior Data Engineer

Data Engineering for Manufacturing and MAKE program - taking legacy systems/data and building up environments/set up/data modeling/repositories to shift to new ERP solution M3 (Infor Product). Data needs, with procurement, flows, etc.

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!

What you'll receive from us:

The Kroger Family of Companies offers comprehensive benefits to support your Associate Well-Being, including Physical, Emotional, Financial and more. We'll help you thrive, with access to:

• A wide range of healthcare coverage, including affordable, comprehensive medical, dental, vision and prescription coverage, through company plans or collective bargaining agreement plans.
• Flexible scheduling in full- and part-time roles with paid time off, including holiday and sick pay based on eligibility and length of service.
• Emotional and financial support with free counseling through our Employee Assistance Program and free, confidential financial tools and coaching with Goldman Sachs Ayco.
• Valuable associate discounts on purchases, including food, travel, technology and so much more.
• Up to $21,000 in tuition reimbursement over your career, through our industry-leading Continuing Education program.
• Vast potential for growth, through an abundance of industry-leading training programs and diverse career pathways.

For more information about benefits and eligibility, please visit our Benefits Page ! Minimum
- Bachelor's Degree computer science, software engineering, or related field
- 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 mgmt
- 4+ years successful and applicable experience building complex data solutions that have been successfully delivered to customers
- 4+ years proven track record of delivering large scale, high quality operational or analytical data systems
- 4+ years experience in the data development and principles including end-to-end design patterns
- 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

Python, Pyspark, SQL, Azure Databricks, Unity Catalog, EventHub, ADF, Synapse, FunctionAPP, AWS, Infor M3 and Birst Analytics, Data Modeling, DBA Admin, IDE development- 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

Deep knowledge and ability to build data models, pipelines in data engineering, Databricks knowledge and hands on building/executing, AWS/Azure or cloud environments, how to apply on new ERP solutions and rollouts, ability to work in legacy systems with data models, moving to new solutions and ERPs.