Castleton Commodities International - Stamford, CT
posted 2 months ago
Full-time - Senior
Hybrid - Stamford, CT
Securities, Commodity Contracts, and Other Financial Investments and Related Activities
About the position
The Senior Data Engineer position at Castleton Commodities International (CCI) is focused on building a best-in-class data science platform that is integral to the company's investment strategy. This role involves implementing new data management platforms, creating data ingestion pipelines, and collaborating with global Risk and commercial investing teams. The engineer will manage data architecture, oversee data quality, and lead analysis using advanced techniques, including machine learning.
Responsibilities
- Execute data architecture and data management projects for both new and existing data sources.
- Help transition existing data sets, databases, and code to a new technology stack.
- Lead analysis of data sets using a variety of techniques including machine learning.
- Manage end to end data ingestion process and publishing to investing teams.
- Own the process of mapping, standardizing, and normalizing data.
- Conduct ad hoc research on project topics such as vendor trends and big data trends.
- Assess data loads for tactical errors and build out appropriate workflows.
- Create data quality analysis that identifies larger issues in data.
- Actively manage vendors and capture changes in data input proactively.
- Prioritize and resolve data issues based on business usage.
- Assist with managing strategic initiatives around big data projects for the commercial business.
- Partner with commercial teams to understand current data flow and gather functional requirements.
- Assess gaps in current datasets and remediate.
Requirements
- Bachelor's degree in Computer Science, Mathematics, Physics, Business Intelligence, or related field of study.
- 10+ years of experience in SQL programming, data architecture, and dimension modeling.
- Experience in energy commodities or financial services required.
- Experience in mapping, standardizing, and normalizing data.
- Extensive work experience with ETL/ELT frameworks to write pipelines to load millions of records.
- Advanced skills in writing highly optimized SQL code.
- Experience with relational databases Snowflake or Oracle is preferred.
- Python work experience with Pandas, Numpy and Scikit.
- Ability to communicate and interact with a wide range of data users - from very technical to non-technical.
- Strong analytics skills with demonstrated attention to details.
Nice-to-haves
- Experience with data integration platforms is preferred, and SnapLogic experience is highly preferred.
- Familiarity with Business intelligence tools Power BI and Tableau.
- Interest or experience in machine learning/Artificial Intelligence is a plus.
Benefits
- Competitive comprehensive medical, dental, retirement and life insurance benefits
- Employee assistance & wellness programs
- Parental and family leave policies
- Charitable contribution match program
- Tuition assistance & reimbursement
- Quarterly Innovation & Collaboration Awards
- Employee discount program, including access to fitness facilities
- Competitive paid time off
- Continued learning opportunities
