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Big Data Engineer - CDP Valuation
Software Technology IncUnited States
Big Data EngineerPerform data validation and support analytical requests 5+ years of data engineering experience Significant experience (3+ years) working with Azure, Scala, Databricks, Spark, ADLS/HD
AEP Data Engineer Real-Time CDP & Personalization
Phase2 TechnologyAustinPhase2 Technology is seeking a skilled Data Engineer in Austin, Texas, to design and maintain data models and ingestion pipelines within Adobe Experience Platform. The role involves building audience
Senior Data Engineer - CDP & Real-Time Data Architect
AritziaSeattleAritzia in Seattle is looking for a skilled data engineer to design and optimize scalable data pipelines that fuel customer insights. You will work closely with various stakeholders to deliver quality
MERCHANDISER CDP
The Honickman CompaniesSpringfieldMerchandiser PositionCanada Dry, a member of the Honickman Companies, has an exciting opportunity for a Merchandiser to join our team at our Springfield, VA facility. A leader in the beverage industry
Über
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)
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