Snowflake Data Analytics Engineer (dbt, SQL)

Brooksource

Columbus (OH)

On-site

USD 90,000 - 120,000

Full time

36 hours ago
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Job summary

Brooksource is seeking a Data Analytics Engineer to support a large-scale data modernization initiative. You will build Snowflake data models with dbt, write optimized SQL, and assist migrating reports to the cloud data warehouse, enabling enterprise analytics.

You'll collaborate with Data and BI Engineers, participate in Agile ceremonies, and apply dimensional modeling best practices to deliver scalable data solutions for stakeholders across the organization.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • Strong SQL fundamentals including joins and aggregations.
  • Ability to communicate technical concepts to diverse stakeholders.
  • Exposure to Snowflake or cloud data warehouse technologies.
  • Familiarity with dbt and modern data modeling concepts.
  • Exposure to Python, Airflow or related data engineering tools preferred.

Responsibilities

  • Build Snowflake data models using dbt and translate business requirements into scalable tables.
  • Write and optimize SQL queries for data transformation and analytics needs.
  • Support migration of reports from legacy platforms to a modern cloud data warehouse.
  • Apply dimensional modeling and star-schema best practices in warehouse design.
  • Collaborate with Data Engineering to resolve data pipeline dependencies.
  • Support downstream reporting and dashboard needs with BI Engineers.
  • Participate in Agile ceremonies, sprint planning and team collaboration.

Skills

SQL fundamentals
Communication to stakeholders
Agile methodologies
Data analytics mindset

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake
dbt
Python
Airflow

Job description

Brooksource is seeking a Data Analytics Engineer to support a large-scale data modernization initiative. You will build Snowflake data models with dbt, write optimized SQL, and assist migrating reports to the cloud data warehouse, enabling enterprise analytics.

You'll collaborate with Data and BI Engineers, participate in Agile ceremonies, and apply dimensional modeling best practices to deliver scalable data solutions for stakeholders across the organization.

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