About
Perform data validation and support analytical requests 5+ years of data engineering experience Significant experience (3+ years) working with Azure, Scala, Databricks, Spark, ADLS/HDFS, NoSQL(DocumentDB), Data Warehouse(SqlDW/Synapse), Azure Devops Intermediate experience with Azure ML Studio, Azure Machine Learning Validate canonical data models and legacy customer valuation replication Support analytical requests and perform summary analyses including raw analysis, presentation of results and the creation of recommendations Experience creating visualization of data in PowerBI (designing data models, creating dashboards, documenting build processes) Intermediate experience with Azure administration including: Administration of security policies & audits Resource management (utilization, optimization, auditing) Azure cost tracking, management, reporting, and analysis Required Skills: Scala Azure data engineering (specifically with Databricks, ADLS, and Synapse) Spark experience building out ETL processes/pipelines for machine learning models Basic 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)
Languages
- English
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