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 US nd 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

Created: 2026-03-10