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

• 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.

• 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.

• 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.
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