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Job Description & How to Apply Below
Join TS Imagine as a Senior Data Engineer, focusing on Snowflake, Python, and data ingestion. This role will enhance trading and risk management capabilities in a hybrid work environment.
As a Senior Data Engineer, you will own the production data systems, pushing the envelope on data ingestion, transformation, and quality assurance. Your expertise will contribute to the seamless integration of internal and external data into our advanced Snowflake platform. You will also work hand-in-hand with cross-functional teams to improve the overall efficiency of our data operations.
Key Responsibilities:
• Design and build data pipelines for diverse sources
• Maintain dbt models and Snowflake structures
• Develop Python applications for data ingestion and automation
• Enhance monitoring, data quality, and testing frameworks
• Troubleshoot production data issues and implement solutions
Requirements:
• Minimum five years of data engineering experience
• Proficient in SQL and Python
• Hands-on experience with Snowflake and dbt
• Knowledge of API integration and data quality
• Familiarity with Git and CI/CD practices
Elevate your data engineering skills while working on critical systems for global capital markets clients.
Position Requirements
10+ Years
work experience
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