Senior Data Engineer

Key Responsibilities:

• Develop and maintain scalable, performant data pipelines to ingest, transform, and deliver data efficiently.
• Leverage Snowflake for data engineering tasks, including ingestion, transformation, performance optimization, and access control.
• Manage data exchange workflows using AWS S3, ensuring secure and efficient data loading/unloading processes.
• Automate and orchestrate data tasks using SQL, Python, Bash, or similar scripting tools.
• Apply best practices in ETL/ELT design and data modeling to ensure data consistency, reliability, and performance.
• Collaborate with data analysts and BI teams to ensure clean, curated datasets are available for reporting and analytics.
• Contribute to CI/CD workflows and version control systems to maintain high-quality, production-ready data code.

Key Qualifications:

• Strong hands-on experience with Snowflake, including performance tuning and security best practices.
• Working knowledge of AWS S3 and secure data handling processes.
• Proficiency in SQL and scripting (Python, Bash, or equivalent).
• Experience with ETL/ELT patterns and a solid grasp of data modeling techniques.
• Proven ability to collaborate across cross-functional teams, particularly with analytics and BI stakeholders.
• Exposure to CI/CD tools and workflows is a plus