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Data Analytics Engineer
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Role: Data Analytics Engineer
Location: Camden, NJ (Hybrid 3 days/week)
Duration: Contract
Job Description:
Primary Responsibilities:
Data Ingestion and Storage:
- Designs, develops, and maintains scalable, efficient data pipelines using Data Factory, and Databricks, leveraging PySpark for complex data transformations and large-scale processing.
- Builds and manages extract, transform, and load (ETL)/extract, load, transform (ELT) processes to seamlessly extract, transform, and load data from on-premises Oracle systems, customer relationship management (CRM) technology, and connected vehicles into data storage solutions, such as Data Lake Storage and SQL Database.
Data Engineering:
- Creates high-code data engineering solutions using Databricks to clean, transform, and prepare data for in-depth analysis.
- Develops and manages data models, schemas, and data warehouses, utilizing Lakehouse Architecture to enhance advanced analytics and business intelligence.
- Leverages Unity Catalog to ensure unified data governance and management across the enterprise s data assets.
Data Integration:
- Integrates and harmonizes data from diverse sources including on-premises databases, cloud services, application programming interfaces (APIs), and connected vehicle telematics.
- Ensures consistent data quality, accuracy, and reliability across all integrated data sources.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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