Who are we?

The fintech startup working on the first large-scale e-wallet in region. We aim to provide people with simple and convenient alternative to cash.

Role Description

Data engineer will be responsible for improving and expanding our data capabilities:

· You will design and develop data applications in one of languages: Python, Scala, SQL

· Develop, customize and manage data integration tools, databases, warehouses, and analytical systems

· Design, build and maintain scalable data models that are clean, tested, and well documented

· Work closely with product teams and other stakeholders to desing and build data marts providing reliable and accurate data in a fast way

· Handle all our data pipelines and contribute towards our data strategy and its execution

Experience, Competencies and Skills Required

· 2+ years of experience as a Data Engineer building data pipelines and analytical data models

· At least 2 years of hands-on experience with Python, SQL. Knowledge of Scala is a plus

· Strong competencies in algorithms and software architecture

· Strong experience in real-time data processing and data ingestion

· At least 2 years of hands-on experience with Big Data systems like Hadoop, Spark

· Experience building data infrastructure using at least one major cloud provider, preferably AWS

· Knowledge of Terraform is a plus

· Knowledge of Scrum, Agile

· Advanced English, good Russian

Project: Design, development, and operation of data infrastructure for dynamic pricing. Tasks: - Data analysis and data maintenance for internal and external communication; - Building data pipelines using Cloud Composer (Airflow); - Maintaining data infrastructure using BigQuery; - Acquisition of competitive data using Scrapy. Requirements: - Master's degree in science or equivalent and work experience; - Experience working at a start-up company; - At least 3 years of experience in programming using object-oriented languages; - Experience designing data warehouses or data marts; - At least 3 years of experience in data pipeline operations; - Experience operating machine learning models in a production environment: - Proficiency in English language. As an advantage will be Japanese language proficiency.