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Role Overview:
- Lead complex technical implementations, shaping data architecture and transformation pipelines.
- Contribute to internal tooling and scalable frameworks that raise the standard of analytics engineering.
Key Responsibilities:
- Drive adoption of best practices for dbt development, testing, and CI/CD.
- Partner with analysts, engineers, and stakeholders to translate business requirements into data models.
- Lead end-to-end delivery of analytics engineering workstreams, ensuring reliability and alignment with client objectives.
Qualifications:
- Expert proficiency in dbt, data modeling, and at least one cloud data warehouse (e.g., Snowflake, BigQuery).
- Strong skills in SQL and Python, with knowledge of data integration patterns and orchestration platforms.
- Ability to communicate with professional proficiency in English.
Values:
- Take the long view and ensure the company is built to last.
- Be courageous and genuine in all decisions and interactions.
- Work with focus and passion, never stop learning.
Velir
Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy, and our culture is built on trust, collaboration, and continued improvement.