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Sr. Data Engineer, Customer

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Michigan (USA), United States

Offer summary

Qualifications:

Bachelor’s degree in Computer Science or equivalent experience, 8+ years in business application design and development, Experience with Azure technologies like Data Factory and Databricks, Strong understanding of data architecture practices, Preferred knowledge of Python and API architecture.

Key responsabilities:

Design, develop, and implement data movement and analytics assets
Gather requirements and design solutions with business partners
Define functional and non-functional requirements for data systems
Provide subject matter expertise on vendor and internal applications
Mentor team members and drive engagement with ITS Security

Meijer Retail (Super / Hypermarket) XLarge https://www.meijer.com/

10001 Employees

See more Meijer offers

Job 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!

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!

This position designs, develops, tests, maintains and enhances business applications as a member of an Agile development team, and works with the entire team to ensure development conforms to acceptance criteria. This position drives engagement with vendors, company customers, IT colleagues and other stakeholders to understand customer requirements and system interfaces, assess available technologies/vendor packages, and present solutions. This position will work with business product owners, developers, and quality analysts to drive value delivery and will participate in all phases of Agile software development.

What You'll be Doing:

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 architecture solutions for the Azure Data Lake.
Partnering with the business to gather requirements for Data and Analytics and designing solutions.
Defines functional and non-functional requirements including performance monitoring, alerting and code management and ensuring alignment with technology best practices and SLAs.
Determines major elements and subsystems and defines interfaces as well as architectural runway.
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.
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):

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.
8+ years industry experience (business application design, development, implementation, and/or solution architecture)
Understanding of architecture practices and execution for large projects / programs.
Strong written and oral communications skills.
Previous experience in Power BI, Data Modeling, Data Classification and zones, data movement, Data architecture and reporting
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.
In-depth understanding of computer, storage, network components including backup, monitoring and DR environment requirements
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.
Preferred knowledge and experience on Python and API architecture in Azure
Preferred knowledge and experience with Databricks Unity Catalog, Databricks Overwatch, and Azure reporting lake.
Any SAFe certification or training.
Experience with multiple, diverse technical configurations, technologies, and processing environments.
Strong interpersonal skills, including teamwork, facilitation, and negotiation.