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2 days ago
This individual will work closely with our Data Science team on data analysis and Machine Learning projects, including text/image analysis and predictive model building. Additionally, they will contribute to the development of CI/CD and MLOps processes, translate business requirements into technical solutions, and ensure optimal performance and quality.
- Develop applications to aggregate, process, and analyze data from diverse sources.
- Design and implement data management and data governance processes and best practices.
- Develop and organize data transformations using DBT and Apache Airflow.
- 5+ years of commercial experience in implementing, developing, or maintaining Big Data systems.
- Strong programming skills in Python or Java/Scala: writing clean code, OOP design.
- Experience in designing and implementing data governance and data management processes.
- Hands-on experience with Big Data technologies like Spark, Airflow, Iceberg, CI/CD, Kafka.
- Proven expertise in implementing and deploying solutions in cloud environments (with a preference for AWS).
- Excellent understanding of dimensional data and data modeling techniques.
- Excellent communication skills and consulting experience with direct interaction with clients.
- Ability to work independently and take ownership of project deliverables.
- Master's or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field.
- Fluent English (C1 level) is a must.
- International projects
- Flexible working hours and remote work possibility
- Paid leave
- Training budget
- Language classes
- Team building events
- Small teams
- Startup atmosphere
- No dress code
- In-house trainings
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