Senior Data Science Engineer - Grand Rapids, MI, United States - Meijer

Meijer Grand Rapids, MI, United States

3 weeks ago

Description

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

Weekly pay

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.

Remote and Hybrid Work Schedules Available for those living within our footprint.

Must live within the Meijer 6-state footprint to be eligible for the Remote or Hybrid work schedule [Michigan, Ohio, Indiana, Illinois, Wisconsin, Kentucky] Or, be willing to relocate..

(Comprehensive Relocation assistance is available.) .

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.
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.

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.
~ 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.
~ 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.
~

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