Key Responsibilities: Design and build automated data pipelines between business applications Develop ETL/ELT processes for data transformation and loading Implement scheduled data processes and workflows Reduce manual data handling through automation Establish data validation rules and quality checks Monitor data accuracy and completeness across systems Troubleshoot and resolve data discrepancies Implement preventative measures for data issues Partner with business teams to understand data requirements Document data flows and business processes Translate business needs into technical solutions Provide support for critical daily/weekly data operations Requirements: Degree in Finance, Engineering, Computer science, Mathematics is beneficial 1-2 years experience in financial services industry is beneficial Strong analytical skills and attention to detail Independant problem solver Data: PostgreSQL, SQL Server Programming: C#, Typescript