Big Data EngineerPerform data validation and support analytical requests5+ years of data engineering experienceSignificant experience (3+ years) working with Azure, Scala, Databricks, Spark, ADLS/HDFS, NoSQL(DocumentDB), Data Warehouse(SqlDW/Synapse), Azure DevopsIntermediate experience with Azure ML Studio, Azure Machine LearningValidate canonical data models and legacy customer valuation replicationSupport analytical requests and perform summary analyses including raw analysis, presentation of results and the creation of recommendationsExperience creating visualization of data in PowerBI (designing data models, creating dashboards, documenting build processes)Intermediate experience with Azure administration including:Administration of security policies & auditsResource management (utilization, optimization, auditing)Azure cost tracking, management, reporting, and analysisRequired Skills: Scala Azure data engineering (specifically with Databricks, ADLS, and Synapse) Spark experience building out ETL processes/pipelines for machine learning modelsBasic Qualification: 5+ years of data engineering experience 3+ years of Azure data engineering w/ Scala, Databricks, Spark, ADLS (or HDFS), Synapse Experience building out ETL pipelines/processes for machine learning models (Azure ML experience preferred)