Description

You will lead data architecture and engineering strategy, owning data models, pipelines, and integration frameworks.

This role is on-site.

Responsibilities

• Design and implement data models, pipelines, and integration frameworks across multiple platforms.
• Optimize data pipelines for performance and scalability, including query tuning within Snowflake.
• Implement and monitor data validation procedures to ensure data accuracy and consistency.
• Troubleshoot and resolve complex data pipeline issues, including job failures.
• Mentor and guide data engineering teams to deliver high-quality outcomes.

Required Skills

• 15+ years of experience in data engineering with a focus on Data Architecture and Data Modelling.
• Hands-on experience with Snowflake cloud data platform, including performance optimization.
• Proficiency in SQL and experience with ETL/ELT processes.
• Experience with Python for data engineering workflows.
• Familiarity with AWS Technologies, specifically Glue and EMR.
• Strong understanding of data engineering design patterns.
• Bachelor's degree in Computer Science or a related field.

Key Skills

Education

Bachelor's degree