Sr Data Engineer
Meijer
- Grand Rapids, MI
- Permanent
- Full-time
- 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.
- Partnering with all areas of 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.
- 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.
- Excellent 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
- Any SAFe certification or training.
- Experience with multiple, diverse technical configurations, technologies, and processing environments.
- Exceptional interpersonal skills, including teamwork, facilitation, and negotiation.