Description

You will build and optimize data pipelines and complex database structures in a global team environment.

Responsibilities

• Optimize large and complicated SQL statements to improve performance.
• Develop scalable data solutions using Python or compiled languages.
• Troubleshoot and optimize database queries and data structures.
• Collaborate with technical and business stakeholders across global teams.
• Manage multiple tasks and requirements within an Agile methodology.

Required Skills

• 5+ years of continuous experience in data engineering roles.
• 5+ years of programming experience in Python.
• Proficiency in compiled languages such as C, C++, or Java.
• Strong proficiency with SQL.
• Deep understanding of data structures and algorithms.
• Experience with Snowflake or MongoDB.
• Bachelor’s or Master’s degree in Computer Science, Mathematics, Electrical Engineering, or a related technical discipline.
• Fluency in English.

Preferred Skills

• Familiarity with financial markets and financial assets.
• Experience with tools for SQL query troubleshooting and performance optimization.

Key Skills

Education

Any Graduate