Sr. Data Engineer

at  Meijer

As a family company, we serve people and communities. When you work at Meijer, you’re provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family – take care of your career and your community!

MEIJER REWARDS

• Weekly pay
• Scheduling flexibility
• Paid parental leave
• Paid education assistance
• Team member discount
• Development programs for advancement and career growth
  Please review the job profile below and apply today!
  The Meijer Enterprise Data and Analytics train is seeking a Senior Data Engineer with experience designing architecture aspiring to be a Solution Architect. The Senior Data Engineer designs, develops, tests, maintains and enhances enterprise data and analytic solutions as a member of an Agile or Operations development team working closely with all areas of the Meijer business to implement best-in-class data and analytics solutions.
  This is a hybrid role meaning this person will need to be in office Monday - Wednesday. Relocation Assistance is potentially available for those willing to relocate.
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What You’ll be Doing (Responsibilities):

• Designs, codes, tests, and implements data movement, dashboarding and analytical assets; develops system documentation according to SAFe Agile principles and industry standards
• Evaluates architectural options and defines overall architecture of enterprise Data Lake and Data Warehouse
• Providing subject matter expertise and technical consulting support on either vendor or internal applications and interfaces including Azure - Data Factory, Log Analytics, Databricks, Synapse, Power BI, ADLS Gen2, Polybase and Machine Learning/AI
• Defines functional and non-functional requirements including performance monitoring, alerting and code management and ensuring alignment with technology best practices and SLAs
• Partnering with all areas of the business to gather requirements for Data and Analytics and designing solutions
• Determines major elements and subsystems and defines interfaces as well as architectural runway
• Mentoring and coaching other members of the agile and\or Run team.
• Driving engagement with ITS Security and Infrastructure teams to ensure secure development and deployment of solutions
• Interfaces with the Product Manager and IT partners at the Program level and within other Release Trains to define and estimate features for agile teams
• Conducting industry research, facilitates new product and vendor evaluations, and assists in vendor selection

What You Bring with You (Qualifications):

• 8+ years industry experience (business application design, development, implementation, and/or solution architecture)
• Understanding of architecture practices and execution for large projects / programs
• Experience building and designing data and analytics on enterprise solutions such as Azure - Data Factory, Log Analytics, Databricks, Synapse, Power BI, ADLS Gen2, Polybase and Machine Learning/AI
• Databricks experience is required
• Experience designing data pipelines, ingestion, storage, prep-train, model and serve using above technologies, Automating Azure Workloads, Data quality, Governance/standards, Security and legal compliance in the Azure architecture
• Bachelor’s degree in Computer Science, Computer Information Systems, Business Information Systems, Engineering or related discipline or equivalent work experience and technical training is required
• Excellent written and oral communications skills
• Previous experience in Power BI, Data Modeling, Data Classification and zones, data movement, Data architecture and reporting
• In-depth understanding of computer, storage, network components including backup, monitoring and DR environment requirements
• Preferred knowledge and experience on Python and API architecture in Azure
• Any SAFe certification or training
• Experience with multiple, diverse technical configurations, technologies, and processing environments
• Exceptional interpersonal skills, including teamwork, facilitation, and negotiation

• Designs, codes, tests, and implements data movement, dashboarding and analytical assets; develops system documentation according to SAFe Agile principles and industry standards
• Evaluates architectural options and defines overall architecture of enterprise Data Lake and Data Warehouse
• Providing subject matter expertise and technical consulting support on either vendor or internal applications and interfaces including Azure - Data Factory, Log Analytics, Databricks, Synapse, Power BI, ADLS Gen2, Polybase and Machine Learning/AI
• Defines functional and non-functional requirements including performance monitoring, alerting and code management and ensuring alignment with technology best practices and SLAs
• Partnering with all areas of the business to gather requirements for Data and Analytics and designing solutions
• Determines major elements and subsystems and defines interfaces as well as architectural runway
• Mentoring and coaching other members of the agile and\or Run team.
• Driving engagement with ITS Security and Infrastructure teams to ensure secure development and deployment of solutions
• Interfaces with the Product Manager and IT partners at the Program level and within other Release Trains to define and estimate features for agile teams
• Conducting industry research, facilitates new product and vendor evaluations, and assists in vendor selectio