Data Engineer - Snowflake
Tiger AnalyticsChicago, Illinois, United States
Posted May 20, 2025
Full Time
About the Company
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.
Job Description
Tiger Analytics is seeking a Data Engineer to architect, design, and implement advanced analytics capabilities. The role involves building scalable data pipelines, optimizing data models, and applying data insights to solve business challenges. The company focuses on delivering value through data for Fortune 500 companies.
Requirements
- Implement and maintain data synchronization between on-premises Oracle databases and Snowflake.
- Develop and optimize the data model for Snowflake, ensuring it supports analytics and reporting requirements.
- Design, build, and manage data pipelines for the ETL process using Airflow and Python.
- Collaborate with data architects to ensure data within Snowflake is structured for efficient reporting.
- Create and maintain documentation for data pipelines, ETL processes, and data models.
- Proficiency in Python and SQL for data processing tasks.
Benefits
- Excellent opportunity for significant career development
- High degree of individual responsibility
