Senior Data Engineer

Key Responsibilities:

• Design and implement scalable, efficient, and secure Snowflake solutions to meet business requirements.
• Develop data architecture frameworks, standards, and principles, including modeling, metadata, security, and reference data.
• Implement Snowflake-based data warehouses, data lakes, and data integration solutions.
• Manage data ingestion, transformation, and loading processes to ensure data quality and performance.
• Collaborate with business stakeholders and IT teams to develop data strategies and ensure alignment with business goals.
• Drive continuous improvement by leveraging the latest Snowflake features and industry trends.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field.
• 4+ years of experience in data architecture, data engineering, or a related field.
• Extensive experience with Snowflake, including designing and implementing Snowflake-based solutions.
• Must be strong in SQL
• Proven track record of contributing to data projects and working in complex environments.
• Familiarity with cloud platforms (e.g., AWS, GCP) and their data services.
• Snowflake certification (e.g., SnowPro Core, SnowPro Advanced) is a plus