Description

You will design, build, and manage scalable data pipelines and architecture to support analytics and reporting.

This role is on-site.

Responsibilities

• Design and develop scalable data pipelines and workflows using Python and Snowflake.
• Build and optimize data models and architecture for reporting needs.
• Translate business stakeholder requirements into actionable technical solutions.
• Monitor data integration processes to ensure accuracy, reliability, and performance.
• Partner with cross-functional platform teams and offshore resources to execute projects.

Required Skills

• 8+ years of industry experience in data engineering.
• Strong expertise in Python and Snowflake.
• Experience with cloud platforms including AWS, Azure, or GCP.
• Proven track record of working with offshore and cross-functional teams.
• Experience gathering requirements directly from business stakeholders.
• Knowledge of CI/CD pipelines for data and ML workflows.

Preferred Skills

• Experience with Machine Learning concepts and applications.
• Ability to incorporate machine learning solutions into data engineering workflows.

Key Skills

Education

Any Gradute