Support Data Engineer
Found in: Appcast US C2 - 2 weeks ago
Company Overview:
We are a technology-driven firm specializing in the development and implementation of quantitative trading strategies. Leveraging our proprietary platform, we provide data-driven insights to institutional investors and commercial hedgers across equities, futures, and foreign exchange markets. Our focus on innovation and data analysis allows us to deliver cutting-edge solutions that complement traditional investment processes.
Position Overview:
We are seeking a talented Python engineer with a knack for troubleshooting to join our team as a Support Data Engineer. In this role, you will play a critical part in maintaining and enhancing our data ingestion infrastructure. You will have the opportunity to work on a high-volume data ingestion system, contributing to the foundation of our advanced analytical capabilities.
Responsibilities:
- Identify, design, and implement internal process improvements to enhance scalability and efficiency of our infrastructure.
- Maintain and update existing infrastructure to ensure optimal extraction, transformation, and loading of data to support our research team.
- Produce and maintain comprehensive documentation for the codebase in alignment with industry standards.
- Create and deliver client reports based on data analysis and insights.
Requirements:
- Proficiency in Python with experience in developing robust, scalable solutions.
- Familiarity with Python libraries such as Pandas, NumPy, SQLAlchemy, and Matplotlib for data manipulation, analysis, and visualization.
- Strong understanding of SQL for data querying and manipulation.
- Ability to conduct root cause analysis on both external and internal processes.
- Excellent communication skills, both verbal and written, with the ability to convey complex technical concepts clearly and concisely.
- Bachelor’s degree in computer science, engineering, or a related field, with a GPA above 3.0.
- Desire to take ownership of projects and work autonomously within a collaborative team environment.
Benefits:
- Competitive salary and benefits package.
- Opportunity for professional growth and development in a dynamic, fast-paced industry.
- Exposure to cutting-edge technologies and methodologies in quantitative finance.
- Collaborative work environment with a focus on innovation and continuous improvement.
How to Apply:
If you are passionate about Python development, data analysis, and problem-solving, and thrive in a challenging yet rewarding environment, we encourage you to apply. Please submit your resume and a cover letter outlining your relevant experience and why you are interested in joining our team.
Note: This position is on-site. We are an equal opportunity employer and value diversity in our workforce.
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