Financial/Investment Data Engineer (SQL queries/ETL/DWH)

Responsibilities Data Infrastructure Development: - Design, implement, and maintain scalable and efficient data pipelines using Snowflake and SQL. - Develop data models, ETL processes, and data integration workflows to ensure high data quality and reliability. - Optimize data storage and retrieval performance in Snowflake.
Data Manipulation and Transformation: - Perform complex data manipulation and transformation using SQL to prepare data for analysis and reporting. - Implement data cleansing, aggregation, and enrichment processes to ensure data accuracy and consistency. - Develop and maintain reusable SQL scripts and stored procedures for data processing.
Collaboration and Support: - Collaborate with data analysts and other stakeholders to understand data requirements and deliver solutions that meet their needs. - Provide technical guidance and mentorship to junior data engineers and other team members. - Work closely with IT and DevOps teams to ensure seamless data integration...