ETL Data Engineer

Job Description: Collaborate, produce, consult, and advise to enable teams to make data driven decisions that inform contact center strategy. Grasp the nature of the problem/need and determine an analytical approach. Apply basic descriptive statistics and advanced statistical techniques. Apply knowledge of diverse programming skills ( SQL , Python , ETL/ELT, Java, etc.). Apply knowledge of platforms (e.g. datastage , Control M, Jupyter Notebooks, Snowflake , DBT (data build tool), etc.). Apply knowledge of stream processing (e.g. Kafka, Kinesis, etc.) (for emitting data out – nice to have). Apply qualitative/categorical analytics. Identify and apply validation techniques before delivering insights. Apply knowledge of diverse data applications and data visualization tools and techniques (e.g. Tableau , Streamlit, Lumira, etc.). Apply knowledge of data sets, data sharing guidelines and environments. Apply knowledge of terminology, business rules, financial impacts, market results, and metrics/KPIs. Apply knowledge of USAA and CoSA strategy, operation, products, and stakeholders. Communicate succinctly, clear and with impact, recognizing when insights are full vetted and truly ready for delivery. Tell a story, including presenting information in a visually striking manner. Must have at least three years of independent experience in core knowledge and skills. #J-18808-Ljbffr