Job Title: Python Data Engineer
Job Location: Midtown Manhattan, New York City
Salary: competitive salary, relocation and benefits

Relocation: Relocation is offered
Job Type: Full-Time
About Company: This is a full-time opening with our direct client a leading quantitative investment company focused on computer-driven trading in global financial markets.
Work Schedule Type- This is an on-site role with the expectation of coming to the office for 4 days a week.

Seeking an exceptional Python Data Engineer who is passionate about data and proficient in programming with Python. Python Data Engineer will play a critical role in their data-driven initiatives, working on diverse projects that involve processing, analyzing, and interpreting large datasets within the context of global financial markets.
RESPONSIBILITIES & REQUIREMENTS

• Experience with in-depth Python knowledge, not only with the coding itself, but possess a high-level understanding of the purpose and pros/cons of its use.
• Proficiency in SQL and database management systems (e.g., PostgreSQL, MySQL, or similar.
• Bachelor's degree or higher in Computer Science, Data Science, Engineering, or a related field.
• Data Processing: Design and develop data pipelines to ingest, transform, and load large volumes of financial data from various sources, ensuring efficiency and scalability.
• Data Analysis: Perform exploratory data analysis to uncover insights and patterns within financial datasets, utilizing statistical methods and machine learning techniques.
• Programming: Write clean, efficient, and maintainable code in Python to implement data solutions and algorithms tailored to the needs of quantitative trading strategies.
• Database Management: Manage databases and data warehouses, optimizing performance and ensuring data integrity in the context of high-frequency trading systems.
• Data Visualization: Create compelling visualizations and dashboards to communicate findings and insights to traders and portfolio managers effectively.
• Collaboration: Collaborate with cross-functional teams, including quantitative researchers, traders, and technologists, to understand requirements and deliver data solutions that support investment strategies.
• Continuous Improvement: Stay updated on emerging technologies, tools, and best practices in data engineering within the financial industry, continuously seeking ways to improve processes and enhance efficiency.
• Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment.

How To Apply: If interested please apply through Dice.com or send an email to pramod AT dtgsi.com with jobid 'DIV24-PYDENY'