Callaway - Snowflake Data Engineer

ROLES AND RESPONSIBILITIES :

- Design and maintain data architecture using Snowflake, Azure, and Python for robust data solutions.

- Develop and optimize ELT/ETL workflows with Python, SQL, and Spark for data accuracy and scalability.

- Development and deployment of data-driven solutions, supporting Gen AI and AI applications.

- Apply software engineering principles to build scalable, maintainable data and application solutions.

- Collaborate with cross-functional teams to define business requirements and architect data solutions.

- Ensure compliance with data privacy regulations and best practices.

- Implement DevOps processes to automate deployment and testing of data pipelines and software.

- Stay current on data engineering, Gen AI, and marketing technology trends, recommending adoption.

- Deliver high-quality, scalable solutions in an Agile environment, meeting deadlines and budgets.

TECHNICAL COMPETENCIES (Knowledge, Skills & Abilities) :

- Expert in Snowflake pipelines for data workloads in Azure or AWS.

- Strong data modeling skills for designing efficient, scalable database structures.

- Knowledge of AI platforms.

- Strong software engineering skills, including React, JavaScript, tools (Node.js, Git, Webpack).

- Advanced Python fluency for data engineering and SQL expertise for data optimization.

- Excellent communication skills.

- Self-motivated, results-oriented, data excellence-focused.

EDUCATION AND EXPERIENCE :

- Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or related field; Master's degree preferred.

- 5-7 years of experience in data engineering, with a focus on designing and building data pipelines and architecture.

- 5-7 years of hands-on experience with Snowflake, Azure, and Python in data solutions.

- Proven track record in software engineering, with experience in React and modern development tools.

- Demonstrated leadership in delivering scalable, data-driven solutions in an Agile environment.