Description
The Data Engineer will orchestrate data extraction from legacy and modern sources, build high-performance scalable ETL and ELT pipelines, and provide expert production support. The role requires a bachelor’s degree, 5–7+ years of enterprise data engineering experience, strong Python and SQL skills, extensive Apache Spark and PySpark experience, Databricks and AWS data services expertise, CI/CD experience, and knowledge of distributed data processing and dimensional modeling. Financial services or asset management experience, data lake technologies, Airflow, streaming platforms, and AWS certifications are preferred.
