Data Engineer

Must possess a STRONG Capital Markets or similar finanical background with Fixed Income, Bonds, swaps, etc, supporting a large data warehouse and provide Python tools within this team. 
You must have a strong demonstrated experience with supporting and implementing tools withn the data infrastruture. 
The ideal candidate will be responsible for designing and implementing a robust data infrastructure and analytical toolset to support Balance Sheet management and optimization activities of the Capital Markets group.
This role is ideal for someone passionate about leveraging data to drive high-impact business decisions.
Technical Expertise:
Advanced Proficiency in SQL and Python are essential. Proven track record of deploying and managing python codebase in a production setting.
Experience with Data Warehousing Solutions: Proven experience with Snowflake or similar platforms.
Data Visualization Tools: Proficiency in using tools like Plotly, QlikSense, Tableau for data visualization.
Working knowledge of a Git repository for version control and collaborative development
Data Engineering Skills:
Data Processing: Experience in handling, processing, and extracting value from large, disconnected datasets.
Data Pipeline Development: Skilled in designing and implementing data pipelines for efficient data flow.
Quantitative Skills: 
Statistical and Mathematical Methods: Familiarity with PCA, linear regression, logistic regression, KNN algorithm, and Monte Carlo simulations.
Analytical Abilities:
Capability to analyze complex sets of data and provide actionable insights.
Experience in building high impact analytical tools.
Collaborative Skills:
Experience working closely with various groups across an organization.
Excellent communication skills for effective cross-team collaboration.
At least 3 years of relevant experience in a similar role