Sr. Data Engineer

Senior Data EngineerOur Retail Digital team partner 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.Required Skills:Data EngineerSQL dataCloudLoadRunner or SolarWindsJob Duties - 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.Job Requirements - What You Bring with You (Qualifications):8+ years industry experience (business application design, development, implementation, and/or solution architecture)Prior experience with SQL to no-SQL cloud solution data migrationsExperience with tools such as LoadRunner or SolarWinds to measure performance of solutionsUnderstanding 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 reportingExperience with cloud storage providers such as Azure Cosmos or Google cloudIn-depth understanding of computer, storage, network components including backup, monitoring and DR environment requirementsExperience designing data pipelines, ingestion, storage, prep-train, model and serve using above technologies, Automating Azure Workloads, Data qualityPreferred knowledge and experience with API architecture in AzureExperience with multiple, diverse technical configurations, technologies, and processing environments.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.