Data Engineer(101085-1)

Role Descriptions: Design| develop| and maintain scalable data pipelines using Python and SQL to support business and analytics requirements. Build| optimize| and manage Snowflake data warehouse solutions| including data modeling| transformation| and performance tuning. Develop and maintain ETL/ELT processes for integrating data from multiple source systems. Write complex SQL queries| stored procedures| and scripts for data extraction| validation| and reporting. Implement data quality checks and automated validation processes to ensure data accuracy and integrity. Utilize Ruby-based test automation frameworks to validate data pipelines| data transformations| and application functionality. Collaborate with business analysts| developers| QA teams| and stakeholders to understand and deliver data requirements. Monitor and troubleshoot data workflows| resolving performance and production issues proactively. Support CI/CD deployments and follow best practices for data governance| security| and compliance. Contribute to the design of scalable| reliable| and high-performing data architecture within cloud environments.

Desirable Skills: Keyword: Skills: Digital : PythonDigital : SnowflakePL/SQL Experience Required: 6-8