Overview:
We are seeking an experienced Senior Data Engineer with at least 8 years of industry experience and strong expertise in Python and Snowflake. The ideal candidate will excel at collaborating with business users, cross-functional teams, and offshore teams to deliver high-quality data solutions. A solid understanding and experience with Machine learning is a valuable addition.

Key Responsibilities:

• Design, develop, and manage robust, scalable data pipelines and workflows using Python and Snowflake.
• Collaborate with business stakeholders to gather and translate requirements into actionable solutions.
• Partner with cross-functional platform teams and offshore resources to ensure seamless project execution.
• Build and optimize data models and architecture to support analytics and reporting needs.
• Monitor and improve data integration processes, ensuring accuracy, reliability, and performance.
• Explore opportunities to incorporate machine learning solutions into data engineering workflows.

Qualifications:

• 6+ years of experience in data engineering, with a strong focus on Python and Snowflake.
• Proven ability to work closely with business stakeholders to gather requirements and deliver impactful solutions.
• Extensive experience working with offshore and cross-functional teams.
• Excellent communication, problem-solving, and teamwork skills.
• Experience with machine learning concepts and applications.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) for data engineering and machine learning.
• Knowledge of CI/CD pipelines for data and ML workflows.