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AI-Powered Job Summary
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Key Responsibilities:
- Assist senior data engineers in developing and maintaining data pipelines, data warehouses, and data lakes;
- Design, develop, and test ETL (Extract, Transform, Load) processes to transform raw data into usable formats for data analysis and reporting;
- Assist in troubleshooting and resolving data-related issues;
- Monitor and optimize data storage and processing systems for performance and scalability;
- Contribute to documenting data infrastructure and processes for knowledge-sharing and training purposes.
- Bachelor’s degree in Computer Science, Information Technology, or a related field;
- Strong foundation in computer science and programming concepts, with experience in Python;
- Familiarity with SQL and database management systems such as MySQL, PostgreSQL, or Oracle;
- Knowledge of ETL processes and tools;
- Excellent problem-solving skills and attention to detail;
- Strong communication and collaboration skills, Ukrainian language Advanced or higher.
- Experience (even theoretical) with big data technologies such as Hadoop, Spark, or Kafka;
- Knowledge of cloud-based data storage and processing platforms like AWS, GCP, or Azure;
- Familiarity with data visualization tools such as Tableau or Power BI.
We offer*:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
- not applicable for freelancers
Key Skills
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