Senior Data Engineer

Role Overview

• Combine data from multiple sources such as APIs, databases, and third-party systems;
• Design and execute ETL/ELT workflows utilizing advanced data processing tools like Cloud Composer/Airflow, Dataflow;
• Develop robust and efficient data pipelines, implement processing logic, and perform data transformations;
• Enhance BigQuery queries and allocate resources effectively to minimize costs and boost performance;
• Maintain data quality, availability, and security by adhering to industry best practices.

Requirements

• Demonstrated experience as a Data or Software Engineer in Senior role
• Prior experience with dbt and Python is advantageous
• Familiarity with CI/CD systems like GitLab is required
• Experience with any public Cloud service
• Knowledge of Google Cloud and Cloud Data Warehousing is highly beneficial
• Specifically, experience with BigQuery or Snowflake and their integration with dbt is preferred. Additionally, proficiency with Terraform is strongly desired.

Tech Stack

• Airflow
• BigQuery
• Cloud
• ETL
• Python
• Terraform

Benefits

• Diverse and technically challenging projects
• Training budget for professional and personal growth
• Flexible working hours and a hybrid workplace model
• Flexible schedule and Agile/SCRUM environment
• Technical equipment that you can choose.