Bachelor's degree in computer science, data science or a related field with eight (10) or more years of working as a data engineer, ETL developer and / or data warehouse DBA.
Experience with Cloud data tools and architecture, including Snowflake, Databricks, Azure Data Factory, Data Lake, and Synapse.
Experience with finance, operations, software firms, or supply chain.
Experience with Analytic tools, such as Power BI, Tableau, or Cognos.
Experience with traditional ETL tools such as IBM DataStage, SSIS, or Informatica
Strong proficiency with SQL and Python.
Experience in distributed architectures such as SOA, RESTful APIs, and data integration architectures.
Experience designing and implementing big data and analytics solutions in financial services environment is Highly Preferred.
Highly organized and detail-oriented, with strong critical thinking, analytical, and problem solving skills.
Ability to handle multiple tasks in a fast-paced environment, both independently and as part of a team.
Display excellent interpersonal skills as well as the ability to effectively present information and respond to questions from leadership and peers