Data Engineer

• Collects, stores, processes, and analyzes raw and/or complex data from multiple sources, recommends ways to apply the data, chooses and designs optimal data solutions, and builds data processing systems, using expertise in data warehousing solutions and working with the latest database technologies
• Maintains, implements, and monitors the quality of the data and information with the architecture used across the company; reports on results and identifies and recommends system application changes required to improve the quality of data in all applications
• Investigates data quality problems, conducts analysis to determine root causes of problems, corrects errors, and develops prototypes, process improvement plans across all programs, and proof of concepts for the selected solutions
• Processes unstructured data into a form suitable for analysis, followed by doing the analysis
• Integrates innovations and algorithms into the organization's data systems, working closely with various teams
• Implements complex data projects with a focus on collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into insights using multiple platforms
• Decides on hardware and software design needs and acts according to the decisions
• Serves as a data subject matter expert, collaborates with business owners or external clients to establish an analysis plan to answer key business questions, and delivers both reporting results and insights
• Generates specific and operational reports in support of objectives and initiatives, and presents and communicates complex analytical data and results to appropriate audiences

Minimum Qualifications:

• Bachelors or Masters in a Computer Information Systems field of study from an accredited college or university, or 5 years equivalent work experience in an IT role

Desirable Technical Skills

Good to have experience on Kafka, Cassandra, Google cloud, Azure cloud, Data Strategy, GPU servers and DRUID, Python