Snowflake

Senior Analytics Engineer, People Analytics

Snowflake

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $152,000 - $204,700 per year

Job Level

Senior

Tech Stack

AirflowAmazon RedshiftBigQueryPythonSQL

About the role

  • Design, develop, and maintain the data infrastructure that powers business intelligence, strategic analysis, and AI workloads across the company
  • Use SQL, Python, Snowflake, dbt, Airflow, and other systems within an agile development model to build and maintain data infrastructure for reporting, analysis, and automation
  • Develop Snowflake semantic models that can be leveraged by Cortex Analyst and power AI experience for data
  • Perform data QA and develop automated testing procedures for use with Snowflake data models
  • Translate reporting, analysis, and automation requirements into data model requirements and specifications
  • Work with IT and other technical stakeholders to source data from key business systems and Snowflake databases
  • Architect flexible, performant data models that will support a wide range of use cases and drive the organization towards single sources of truth
  • Provide input into data governance strategies and frameworks including permissions and security models, data lineage systems, and data definitions
  • Build and maintain user friendly documentation for data models and key metrics
  • Identify weaknesses in processes, data, and systems, and drive organizational improvements within the Analytics Engineering team

Requirements

  • 5+ years of experience working as an analytics, data, or BI engineer
  • Advanced SQL skills with experience standardizing queries and building data infrastructure involving large-scale relational datasets
  • Experience using Python to parse, structure, and transform data
  • Experience with MPP databases such as Snowflake, Redshift, BigQuery, or other relevant technologies
  • Ability to communicate in an effective and efficient manner while working with a wide range of stakeholders
  • Ability to prioritize and execute tasks in a high-pressure, constantly changing environment
  • Ability to think creatively to solve problems
  • Passion for detail and quality, an ability to identify weaknesses in data and process, and a willingness to drive improvement
  • Willingness to work flexible international hours as needed
  • Expected to follow company confidentiality and data security standards for handling sensitive data