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Senior Analytics Engineer

ZoomInfo
Toronto, CAN
Onsite
Discovered 1 weeks ago
SQLData modelingAnalytics engineeringdbt or comparable transformation frameworkPython or another data-processing languageCloud data warehouses

Full Job Posting

Role overview

Join ZoomInfo's Enterprise Data Engineering team as a senior analytics engineer.

Design and own core data infrastructure and models supporting organization-wide, data-driven decisions.

Responsibilities

  • Build scalable models, trusted pipelines, reusable datasets, and semantic models for analytics and reporting.
  • Set consistent metrics, dimensions, definitions, and data contracts across teams.
  • Improve data infrastructure reliability, performance, observability, and maintainability.
  • Implement data quality checks, testing, documentation, lineage, and monitoring.
  • Collaborate with engineering, product, design, strategy, AI platform, analysts, and data scientists.
  • Help establish version control, code review, CI/CD, documentation, and deployment standards.

Requirements

  • At least 4 years in analytics engineering, data engineering, BI engineering, or a related field.
  • Strong SQL, complex-query, and dimensional data modeling skills.
  • Experience with dbt or a comparable framework and proficiency in Python or another data-processing language.
  • Experience with modern cloud data warehouses, including one or more of Snowflake, Databricks, BigQuery, or Redshift.
  • Experience with data quality, testing, monitoring, documentation, and observability.
  • Strong cross-functional communication and problem-solving; familiarity with cataloging and lineage tools.

Technology stack

  • Warehouse: Snowflake primarily; BigQuery for GCP workloads.
  • Ingestion: Fivetran, Airflow, AWS Lambda, and S3 staging.
  • Modeling and compute: dbt and Databricks.
  • Infrastructure and delivery: Terraform and GitHub; consumption includes Tableau and internal semantic-layer tools.

About ZoomInfo

ZoomInfo provides go-to-market intelligence, AI-ready insights, trusted data, and automation to businesses worldwide.

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