Description

You will lead the data architecture and engineering strategy for the organization.

Responsibilities

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

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.
• Proven ability to work independently and resolve complex data pipeline issues.

Key Skills

Education

Bachelor's degree