Azure Analytics SQL Server OLAP Engineer (Jobs in Cedar Rapids, IA)   Requirement id 114495 Job title Engineer Job location in Cedar Rapids, IA Skills required Azure, Analytics, Data Modeling, SQL Server OLAP Open Date 26-Feb-2021 Close Date Job type Contract to Hire Duration 9 Months Compensation DOE Status requirement --- Job interview type --- Apply    Email Recruiter: coolsoft Job Description Engineer: Azure, Analytics, Data Modeling, SQL Server OLAP Candidate must be our W2 Employee. Job Description: Data Engineer Remote Experience: Strong background in Azure data engineering, including hands on experience with Azure tools: Synaps, Data Brick and Azure Analytics - required Must have Data modeling background - understand how data needs to flow Prior experience in financial reporting software development or within finance industry is desired Datawarehouse experience is desired OLAP cubes using SQL Server Analysis Services is nice to have Database Design Tools and Data Modeling: Ralph-Kimball Methodology, Star Schema, Snow Flake Schema, Extended Star Schema are nice to have Project: Supporting accounting functions within finance teams. Resource will work within Azure tools to model data, pull data in from sources, and perform reporting and testing. Responsibilities Work collaboratively with other engineers, data scientists, analytics teams, and business product owners in an agile environment: Architect, build, and support the operation of Cloud and On-Premises enterprise data infrastructure and tools. Design robust, reusable and scalable data driven solutions and data pipeline frameworks to automate the ingestion, processing and delivery of both structured and unstructured batch and real-time streaming data. Lead the development of data APIs and data delivery services to support critical operational processes, analytical models and machine learning applications. Assist the selection and integration of data related tools, frameworks and applications required to expand platform capabilities. Understand and implement best practices in management of enterprise data, including master data, reference data, metadata, data quality and lineage.   Call 502-379-4456 Ext 100 for more details. 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