Data Engineer (Snowflake & dbt)

• Design, develop, and maintain data pipelines, data warehouses, and data integration solutions.
• Build and optimize data transformation workflows using Snowflake and dbt.
• Integrate data from multiple sources using IBM DataStage and other data management tools.
• Develop and maintain automated job scheduling and workflows using Control-M.
• Ensure data quality, accuracy, reliability, and performance across enterprise data systems.
• Troubleshoot data processing issues and implement solutions to improve efficiency and scalability.
• Collaborate with technical teams and business stakeholders to support data and analytics requirements.

• Strong proficiency in Snowflake and dbt for data warehousing and transformation.
• Experience with IBM DataStage for ETL development and data integration.
• Knowledge of Control-M for job scheduling and workflow automation.
• Strong SQL, data modeling, and data integration skills.
• Excellent analytical, problem-solving, and troubleshooting abilities.

Experience:

• Experience designing, developing, and maintaining enterprise data engineering solutions.
• Hands-on experience with Snowflake, dbt, DataStage, and Control-M.
• Background integrating data across platforms and optimizing large-scale data processing systems.
• Must successfully complete a background check (BGC).

Education:

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field preferred, or equivalent relevant experience.

Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.