Senior Data Engineer

Role Overview

• Design and evolve the architecture of the data platform and storage systems
• Build reliable ETL/ELT processes and develop scalable data pipelines for delivering data into a centralized analytical warehouse
• Maintain and further develop the Data Warehouse
• Collaborate with engineering and analytics teams on system design and architectural decisions
• Ensure data governance and maintain high standards of data quality
• Write and optimize queries for MongoDB and ClickHouse
• Manage and maintain workflows in Airflow

Requirements

• 7+ years of experience as a Data Engineer
• 5+ years of experience with Python, TypeScript, Node.js, Kafka
• Strong understanding of data processing algorithms and principles
• Hands-on experience with ClickHouse, Airflow, Amazon S3, Git, Docker
• Solid understanding of Data Lake and Data Warehouse architectures
• Experience working with large-scale data and query optimization
• Ability to work collaboratively toward shared goals
• Strong sense of ownership, responsibility, and proactivity
• English level: B1+

Tech Stack

• Airflow
• Docker
• ETL
• JavaScript
• Kafka
• MongoDB
• Node.js
• Python
• TypeScript

Benefits

• 31 days off
• 100% paid telemedicine plan
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Co-working
• Remote working