Description

eToro is the trading and investing platform that empowers users to invest, share and learn. We were founded in 2007 with the vision of a world where everyone can trade and invest in a simple and transparent way. We have created an investment platform that is built around collaboration and investor education. On our platform, users can view other investors’ portfolios and statistics, and interact with them to exchange ideas, discuss strategies and benefit from shared knowledge. We have over 38 million registered users from 75 countries and our platform is available in 20 languages. We are a fast growing business with over 1,500 employees across 13 offices around the globe, strategically positioned to serve the needs of users. You can find out more about eToro here .

eToro’s award-winning trading and investing platform is at the forefront of Fintech technology. Our Research and Development department develops cutting-edge technologies, focusing on field-relevant areas, such as blockchain and artificial intelligence. We promote an organizational culture which is both professional and fun.

What you’ll be doing

• Gathering requirements from internal customers
• Design, manage and maintain analytics products and pipeline solutions.
• Create new ETL/ELT processes and optimize existing by different tools (Python, PySpark, Databricks, etc.)
• Debugging, monitoring, and troubleshooting pipeline solutions
• Provide analysts and other internal customers with technical support related to data activity
  
  

Requirements

• 3+ years experience working as a Data Engineer
• At least 2 years of experience with Python
• PySpark/Databricks - Big Advantage
• Experience in writing ETL\ELT Processes
• Have experience in designing, building, optimizing, and maintaining big data pipelines on the public cloud (preferably Azure).
• Knowledge in SQL.
• Transfer current data structures to cloud/big data
• Working with Spark and ETL flows
• Good analytical skills and original thinking
• Good system-level understanding of problems
• ETL with Stream Technology - Big Advantage
• Work in production environment in large scale be part of OnCall routine
• Work with CI/CD in various platforms