Data Engineer: Real-Time Pipelines & Analytics

Volt Capital; Vancouver; On-site; CAD 90,000 - 120,000; Full time

Job summary

A forward-thinking tech company is seeking a Data Engineer to design and operate scalable data systems. The ideal candidate will have over 5 years of experience, strong SQL skills, and proficiency in Python or Go. The role involves building data pipelines, ensuring data quality, and optimizing performance using tools like Snowflake and AWS. Join a team focused on Web3 technologies and contribute to innovative data solutions in a dynamic environment.

Qualifications

• 5+ years of experience building scalable data systems as a data engineer or in a similar role.
• Hands-on experience with modern data warehouses like Snowflake, Redshift, or BigQuery.
• Experience deploying and operating data systems in AWS and containerized environments.

Responsibilities

• Design and implement reliable batch and real-time data pipelines processing blockchain data.
• Build and scale data infrastructure using tools like Snowflake and AWS.
• Ensure data quality through monitoring and clear documentation.

Skills

Strong SQL skills

Proficiency in Python or Go

Experience with dimensional data modelling

Curiosity about Web3

Tools

Snowflake

AWS

Airflow

Docker

Job description

A forward-thinking tech company is seeking a Data Engineer to design and operate scalable data systems. The ideal candidate will have over 5 years of experience, strong SQL skills, and proficiency in Python or Go. The role involves building data pipelines, ensuring data quality, and optimizing performance using tools like Snowflake and AWS. Join a team focused on Web3 technologies and contribute to innovative data solutions in a dynamic environment.