Description

Lead the design and development of cloud-based data pipelines and technical architecture for large-scale data warehousing.

Responsibilities

• Build and manage data pipelines to migrate and move data to the cloud.
• Collaborate with stakeholders to gather requirements and provide architectural suggestions.
• Identify, validate, and correct data issues during UAT and production phases.
• Mentor junior team members and provide technical guidance.
• Develop, test, and calibrate reusable techniques and framework enhancements.

Required Skills

• 6 to 12 years of total professional experience.
• Hands-on expertise in Snowflake and SQL.
• Strong proficiency in Python, including data structures and relevant libraries.
• Proven experience in data engineering and creating data pipelines.
• Deep understanding of AWS services and cloud environments.
• Solid knowledge of Data Warehousing concepts and data modeling for large-scale data.
• Experience with Git and CI/CD workflows.
• Ability to lead a team and work with minimal guidance.

Preferred Skills

• Experience with Airflow.
• Knowledge of DBT.

Key Skills

Education

Not specified