Strong Python with PySpark
Hands-on experience with Apache Spark (preferably in cloud environments)
Experience working with large-scale data systems
Familiarity with columnar formats (Parquet) and modern table formats (Iceberg)
Experience with Databricks
Prior consulting, advisory, or client-facing delivery experience
Ability to operate effectively in ambiguous environments
Proven independent delivery without close supervision
Strong problem-solving and continuous improvement mindset
AWS data services (Glue, Lake Formation)
Workflow orchestration tools (Airflow)
Experience with distributed data processing architectures
Capital markets experience
