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