Key Responsibilities

• Foster a culture of working with data across the organization, ensuring data-driven decision-making
• Create and maintain a unified system for processing, storing, and validating data, ensuring data integrity and accessibility
• Design and build processes for processing and enriching data, participating in all stages of the data pipeline from data capture to consumer presentation
• Develop and maintain infrastructure for big data storage and processing using tools like Kubernetes (K8S) and Terraform
• Create and optimize APIs (REST, gRPC) for high-load data access services, enabling efficient data retrieval
• Write integration and unit tests, develop automation tools for data validation and alerting
• Сontribute to system design and architecture with the development team

Skills, Knowledge and Expertise

• Advanced proficiency in Python 3.7+ with strong experience in developing ETL processes using PySpark
• Proven experience in developing data flows using Airflow2
• High level of expertise in SQL, including complex queries and optimization
• Extensive knowledge and industrial experience with Kubernetes (K8S)
• Strong understanding of data processing algorithms and principles, with experience in Spark/Flink
• Solid understanding of general programming concepts, including design patterns, OOP, modularity, and pure architecture
• Demonstrated ability to take ownership of technologies or services and proactively contribute ideas to the team

Conditions

• Stable salary, official employment;
• Health insurance;
• Hybrid work mode and flexile schedule;
• Relocation package offered for candidates from other regions;
• Access to professional counseling services including psychological, financial, and legal support;
• Discount club membership;
• Diverse internal training programs;
• Partially or fully payed additional training courses;
• All necessary work equipment.