Position Details

Type Not Specified

Experience mid

Exp. Years 5+ years

Education Not specified

Category Data & Analytics

About this role

This role involves building and managing scalable data pipelines and dashboards to enable data-driven decision-making across the organization.

Key Responsibilities

Build data pipelines
Develop dashboards
Partner with teams
Ensure data quality
Influence data architecture

Technical Overview

Technical environment includes SQL, Python, dbt, Airflow, and visualization tools like Hex, with a focus on data modeling, pipeline development, and reporting.

Ideal Candidate

The ideal candidate is a mid-level analytics data engineer with over 5 years of experience building scalable data pipelines and dashboards. They excel in SQL and Python, with a strong background in data modeling and collaboration with cross-functional teams.

Must-Have Skills

5+ years of experience as an Analytics Data EngineerExpertise in SQL and PythonBuilding data pipelines with dbtExperience with AirflowBuilding dashboards in visualization toolsPartnering with GTM and Product teams

Nice-to-Have Skills

Experience at start-upsBuilding self-serve analyticsData architecture expertiseVisualization in Hex

Tools & Platforms

dbtAirflowGitHubHexSQLPython

Required Skills

SQLPythondbtAirflowGitHubData pipelinesData modelingData visualizationMetrics reportingData architecture

Hard Skills

SQLPythondbtAirflowGitHubData pipelinesData modelingData visualizationMetrics reportingData architecture

Soft Skills

CollaborationProblem-solvingInitiativeCommunicationTime management

Industry & Role

Industry SaaS

Job Function Analytics Data Engineer

Keywords for Your Resume

SQLPythondbtAirflowGitHubData pipelinesData modelingData visualizationMetrics reportingData architectureDashboards

Deal Breakers

Less than 5 years of experience, Lack of expertise in SQL and Python, No experience with dbt or Airflow

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