DBT SME

5 days ago

Boston, United States Gardner Resources Consulting, LLC Full time

We’re seeking a Lead Analytics Engineer to help design, model, and scale a modern data environment for a global software organization. This role will play a key part in organizing and maturing that landscape as part of a multi-year strategic roadmap. This position is ideal for a senior-level analytics engineer who can architect data solutions, build robust models, and stay hands-on with development.This is a remote role with occasional onsite meetings. Candidates must currently be local to the Boston area and reside in MA/CT/RI/NH/ME.Long term contract. W2 or c2c.Highlights:Architect and build new data models using dbt and modern modeling techniques.Partner closely with leadership and business teams to translate complex requirements into technical solutions.Drive structure and clarity within a growing analytics ecosystem.QualificationsBachelor’s degree in Economics, Mathematics, Computer Science, or related field.10+ years of experience in an Analytics Engineering role.Expert in SQL and dbt with demonstrated modeling experience.Data Modeling & Transformation: Design and implement robust, reusable data models within the warehouse. Develop and maintain SQL transformations in dbt.Data Pipeline & Orchestration: Build and maintain reliable data pipelines in collaboration with data engineering. Utilize orchestration tools (Airflow) to manage and monitor workflows. Manage and support dbt environments and transformations.Hands-on experience with BigQuery or other cloud data warehouses.Proficiency in Python and Docker.Experience with Airflow (Composer), Git, and CI/CD pipelines.Strong attention to detail and communication skills; able to interact with both technical and business stakeholders.Technical Requirements:Primary Data Warehouse: BigQuery (mandatory)Nice to Have: Snowflake, RedshiftOrchestration: Airflow (GCP Composer)Languages: Expert-level SQL / dbt; strong Python requiredOther Tools: GCP or AWS, Fivetran, Apache Beam, Looker or Preset, DockerModeling Techniques: Vault 2.0, 3NF, Dimensional Modeling, etc.Version Control: Git / CI-CDQuality Tools: dbt-Elementary, dbt-Osmosis, or Great Expectations preferred

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