Data Engineer/Developer

• Design and develop high-quality, scalable, and efficient data solutions.
• Support end-to-end data engineering initiatives and data transformation efforts.
• Develop and optimize complex SQL queries and data transformations.
• Build and maintain ETL/ELT pipelines using DBT or similar technologies.
• Support data warehousing initiatives, including data modeling and data quality practices.
• Troubleshoot and resolve data-related issues across the data lifecycle.
• Create and support unit testing efforts to ensure solution accuracy.
• Document enhancements and opportunities for process improvement.
• Collaborate effectively with Agile teams to deliver business solutions

SQL Development (3+ Years)

• Strong SQL experience developing and optimizing complex data transformations and queries.

Data Warehousing (3+ Years)

• Experience with data warehousing concepts including:
• Data modeling
• ETL/ELT processes
• Data quality management and best practices

Cloud Data Platforms (3+ Years)

• Hands-on experience with Snowflake or similar cloud data warehouse technologies.

Required Technology Experience

• Snowflake
• DBT (preferred)
• Python
• Control-M or similar workflow orchestration/job scheduling tools

Required Experience

• Experience independently delivering at least 2-3 mid-sized to large development projects.
• Ability to support data engineering solutions from design through deployment.
• Experience troubleshooting complex data and integration issues.
• Strong collaboration skills within Agile development environments.
• Experience driving technical tasks and meeting project objectives.

Preferred Qualifications

• Experience with cloud-based data platforms.
• Strong understanding of data transformation best practices.
• Exposure to workflow orchestration and scheduling tools.
• Ability to work effectively in fast-paced delivery environments.