Python Data Analytics Developer

Skills

• Python — Strong working knowledge required. Libraries: Pandas, NumPy, PySpark, SQL.
• Tableau — Required, but as a supporting skill, not the lead. Candidate should be comfortable with Desktop, Server, and Prep.
• Data Analytics — Ability to look at data and patterns independently and surface insights without being directed step-by-step.
• Data Processing — Strong hands-on data processing skills. Note: this is NOT ETL pipeline work (see clarification below).
• AWS Familiarity — Working knowledge of the AWS ecosystem (S3, Redshift, Athena, Glue at minimum). Not a cloud architect role, but AWS should not be foreign.