Python Data Engineer

Introduction:

We are looking for an experienced Python Data Engineer / Quant Developer with 15+ years of IT experience and strong expertise in Python and SQL. The ideal candidate will work on data engineering, quantitative development, financial data processing, analytics, and high-performance data solutions.

Responsibilities:

• Develop data engineering solutions using Python and SQL
• Work on quantitative development and financial data processing
• Analyze and transform large-scale datasets
• Implement ETL/ELT processes for data processing
• Utilize data structures and algorithms for efficient data handling
• Collaborate with teams to develop production-quality applications
• Apply problem-solving skills for debugging and resolving issues
• Communicate effectively with team members and stakeholders

Requirements:

Required Skills:

• 15+ years of overall IT experience
• Strong Python development skills
• Advanced SQL and database development knowledge
• Experience in quantitative development and financial data processing
• Expertise in data engineering and ETL/ELT processes
• Ability to analyze and transform data efficiently
• Strong understanding of data structures and algorithms
• Experience working with large-scale datasets
• Preferably, knowledge of financial markets, Capital Markets, or Risk domain
• Excellent debugging and problem-solving skills
• Proven experience in developing production-quality applications
• Excellent communication and analytical skills

Preferred Skills:

• Experience with Pandas and NumPy libraries
• Familiarity with PySpark for data processing
• Knowledge of REST APIs for data integration
• Experience with cloud technologies for data management
• Understanding of data warehouses and relational databases
• Background in Market Risk, Quantitative Finance, or Trading systems
• Proficiency in Linux/Unix environments and version control with Git