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 enginee...