Responsibilities Include:
- Develop and deploy SQL and Python solutions tailored for Portfolio Management, Operations, Marketing, and Client Reporting teams.
- Administer an Azure Synapse Enterprise Data Warehouse.
- Transition current systems to a cloud-based infrastructure.
- Establish efficient data modeling and access strategies to enable high-performance yet cost-efficient data utilization.
- Provide ongoing assistance for data processing in the Enterprise data ecosystem.
Qualifications:
- Bachelor's degree in Computer Science or related field
- 2-5 years of experience with SQL and Python
- Prior experience in Financial Services is necessary
- Proficiency with cloud-based platforms like Microsoft Azure or AWS Knowledge of distributed enterprise applications
- Familiarity with Agile methodologies
- Hands-on experience with Azure data platforms including Synapse, SQL Database, Data Factory, and Data Lake
