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Lead Data Engineer
Two Circles
Vancouver, CAN
Full-time
Senior · 8+ years experience
Hybrid
Discovered 3 weeks ago
.NetC#PythonAWSSnowflakeMS SQL Server
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Role Overview
We are seeking a Lead Data Engineer to join our Measurement team in the Partnership Intelligence Platform. You will round out the team with expertise in directly managing AWS Services, with technologies such as Airflow, Snowflake, MS SQL Server and .Net. Experience designing and managing large scale data pipelines is a must for this role, as well as a keen interest to explore new technologies and solutions. We are looking for someone who brings experience and passion working with the flow of data and infrastructure.
Key Skills for This Role
.NetC#PythonAWSSnowflakeMS SQL Server
Full Job Posting
About The Role
We are seeking a Lead Data Engineer to join our Measurement team in the Partnership Intelligence Platform. You will round out the team with expertise in directly managing AWS Services, with technologies such as Airflow, Snowflake, MS SQL Server and .Net. Experience designing and managing large scale data pipelines is a must for this role, as well as a keen interest to explore new technologies and solutions. We are looking for someone who brings experience and passion working with the flow of data and infrastructure.
Key Responsibilities
- Work as part of a cross-functional product team to deliver a high-quality SaaS based data platform.
- Design and implement data pipelines with a clear focus on data quality and reliability.
- Partner with both Product Management and stakeholders, as well as both technical and non-technical team members to deliver our vision, roadmap, and data strategy in addition to innovative client solutions.
- Act as an advocate for development best practices including technical design reviews, implementing test plans, test driven development, monitoring/alerting, peer code reviews, and documentation.
- Contribute to our DevOps culture and participate in ownership of our designs through production operations.
- Support the ongoing maintenance and operations of the data platform.
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