Data Engineer

Title: Data Engineer Location: Grand Rapids MI Duration: 12 Months The Meijer Digital team is seeking a Senior Data Engineer with experience migrating on prem SQL data to no-SQL cloud solutions. The Senior Data Engineer designs, develops, and tests the cloud solution and works closely with a wider development team. Position is remote, the team works in Eastern time-zone, so successful candidates should be prepared to work in Eastern time. Position is initially for 6 months time, with possibility to extend based on performance. 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 the data migration project. -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, Cosmos. -Interfaces with the Product Owner and IT leadership at the project level to define and estimate features for agile team. 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) -Prior experience with SQL to no-SQL cloud solution data migrations -Experience with tools such as LoadRunner or SolarWinds to measure performance of solutions -Understanding of architecture practices and execution for large projects / programs. -Excellent written and oral communications skills. -Previous experience in Data Modeling, Data Classification and zones, data movement, Data architecture and reporting -Experience with cloud storage providers such as Azure Cosmos or Google cloud -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 -Preferred knowledge and experience with API architecture in Azure -Experience with multiple, diverse technical configurations, technologies, and processing environments.