We are on the hunt for a skilled Data Engineer to be a part of our team located in Salt Lake City, Utah. In this capacity, you'll work closely with our data science and business intelligence teams, ensuring smooth data flow and quality across our systems. The role involves building and maintaining our data infrastructure and analytics capabilities.
Responsibilities:
• Develop, optimize, and manage scalable data pipelines to handle vast amounts of data efficiently using technologies such as Spark.
• Design, develop, and sustain robust ETL processes for extracting, transforming, and loading data from a variety of sources into our data warehouse.
• Collaborate with data analysts and stakeholders to comprehend data requirements and construct effective data models.
• Utilize tools like HVR and Matillion for integrating data from diverse sources, ensuring data integrity and availability.
• Create and sustain dashboards and reports using Power BI and Looker to support business decision-making.
• Manage and optimize data storage solutions on platforms such as Amazon Redshift to facilitate efficient querying and data analysis.
• Work in conjunction with cross-functional teams, including data science, software engineering, and business intelligence, to deliver comprehensive data solutions.
• Assist in the development and deployment of machine learning models, ensuring proper data preprocessing and management.
• Use Git for code versioning and collaboration on data projects.
• Minimum of 3 years of detail oriented experience in a Data Engineer role
• Proficient in data visualization techniques and tools
• Experienced in using AWS technologies for data management and processing
• Strong programming skills in Python
• Familiarity with Redshift for data warehousing
• Extensive knowledge of ETL (Extract, Transform, Load) processes and tools
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