Analytics engineer

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

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

Help us challenge injustice by creating fair choices for millions of people across 48 countries
Develop your professional skills with access to mentoring, career consulting, and learning programs
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
Work alongside people who take initiative, speak openly, and challenge themselves to grow
Improve your language skills through co-financed courses and internal speaking clubs

See also