Data Engineer

Responsibilities Participate in developing high quality, scalable software modules for next generation analytics solution suite Engage in activities with cross-functional IT unit stakeholders (e.g., database, operations, technical support, etc.) Formulate logical statements of business problems and devise, test, and implement efficient, cost-effective application program solutions Identify and validate internal and external data sources for availability and quality Work with SMEs to describe and understand data lineage and suitability for a use case Create data assets and build data pipelines that align to modern software development principles for further analytical consumption Perform data analysis to ensure quality of data assets Perform preliminary exploratory analysis to evaluate nulls, duplicates, and other issues with data sources Assist in developing code that enables real-time modeling solutions to be ingested into front-end systems Produce code artifacts and documentation using GitHub for reproducible results and hand-off to other data science teams Requirements 2+ years of relevant experience recommended Bachelor’s degree in Computer Science, Engineering, IT, Management Information Systems, or a related discipline Experience in R (preferred), Python, and SQL Experience in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON Experience in ETL concerning metadata management and data validation Experience in Linux and Git Experience in Automation tools (Autosys, Cron, Airflow, etc.) Exposure to AWS Services (i.e. S3, EMR, etc) a plus Able to communicate effectively with both technical and non-technical teams Able to translate complex technical topics into business solutions and strategies #J-18808-Ljbffr