Data Engineer ( Billing Automation )

Responsibilities:

• Develop and maintain Python scripts to retrieve and process data from APIs;
• Clean and transform raw data into structured formats;
• Troubleshoot and debug issues related to API requests and data processing;
• Continuously improve the project/application by optimizing performance, enhancing features, and implementing best practices;
• Generate, analyze, and visualize reports using Tableau to support business decisions;
• Create and manage dashboards, filters, and data visualizations to provide insights;
• Collaborate with teams to ensure data accuracy and system efficiency
  
  
  

Requirements

• 2+ years of working experience as a Data Engineer;
• Knowledge of Python, with a focus on data processing and automation;
• Experience working with RESTful APIs, JSON and authentication mechanisms;
• Understanding of data structures and usage of Pandas for data manipulation;
• Experience with SQL for querying and managing datasets;
• Ability to create and interpret reports and dashboards;
• Basic understanding of financial concepts and working with financial data;
• Basic understanding of SQL for working with structured data;
• Basic experience with Docker is a plus
  
  
  

Benefits

🎰 Join us to be a part of the international iGaming market with a top European solution provider;

💰 A nice bonus system as a cool addition to your salary;

📆 Unlimited vacation and sick leave. Yes, we care about people;

📈 Investing in your growth. You have a budget for self-study;

🏥 Healthcare coverage for Ukrainian and other EU countries;

🫂 Consultations with a corporate psychologist;

🇬🇧 Compensation for foreign language courses;

🎁 Gifts for personal life events;

☕️ With us, you will no longer see hyper-control and micromanagement;

🏢 You can choose work format: fully remote, office or hybrid;

🖥 Modern work equipment;

🚚 Support of relocation to our hubs;

💕 Friendly team, that will understand and support you;

⏳ Flexible working hours based on tasks completion. From 9:00-11:00 AM.