Senior Data Engineer

Overview

Job Description

Responsibilities

• - Maintain data pipeline job framework
• - Develop Data Quality framework (internal set of tools for internal and external data sources validation)
• - Maintain and develop public facing data ingestion service with 17 000+ RPS
• - Maintain and develop core data pipelines in batch and streaming manners
• - Be a last line of support for our internal platform users
• - Take part in an on-call rotation for data platform incidents (shared across the team)

Required Skills

• - Fluent English
• - 4+ years building production services and data pipelines (batch and/or streaming)
• - Strong experience with Python or the readiness to ramp up quickly
• - Hands-on experience with at least one MPP system (Spark, Trino, Redshift etc.)
• - Hands-on experience operating services in a cloud environment (AWS preferred)
• - Nice to have Terraform/CloudFormation or other IaC tools
• - ClickHouse or similar analytical databases
• - Experiences with data quality/observability tools

Benefits

• - Unlimited vacation time - we strongly encourage all employees to take at least 3 weeks per year
• - Fully remote team - choose where you live
• - Work from home stipend - we want you to have the resources you need to set up your home office
• - Apple laptops provided for new employees
• - Training and development budget - refreshed each year for every employee
• - Maternity & Paternity leave for qualified employees
• - Work with smart people who will help you grow and make a meaningful impact
• - Stock options - offered in addition to the base salary
• - Regular team offsites to connect and collaborate