Chief Data Architect

1 dia atrás

Natal, Rio Grande do Norte, Brasil beBeeDataEngineer Tempo inteiro US$180.000 - US$200.000
Job Overview

We help contractors automate estimating, streamline operations, and win more work using real-time cost data and intuitive design.

Our platform has over 10,000 monthly active users and significant project volume flowing through it. We're becoming the trusted partner for those who build homes.

Data Engineer at Our Platform

You'll play a key role in shaping our data infrastructure with a strong focus on building and optimizing our data warehouse.

Beyond writing pipelines, you'll be deeply invested in understanding how data drives business decisions and empowers teams to deliver clarity and impact.

You'll work closely with engineering product and business stakeholders to design scalable reliable high-quality data systems that become the foundation for insights and decision-making across our platform.

Key Responsibilities
  • Design implement and maintain scalable ETL ELT pipelines using Airflow.
  • Develop data models across layers to support analytics and reporting.
  • Optimize SQL queries for large datasets in AWS Athena and other relational systems.
  • Build and maintain dashboards and BI workflows using Metabase.
  • Collaborate with Product Operations and Analytics teams to define startup metrics and KPIs.
  • Ensure data quality governance and reproducibility across the data warehouse lake.
  • Establish best practices for data engineering and analytics.
About You
  • Bachelor's or Master's degree in Computer Science Data Science or a related field.
  • 5+ years of experience in data engineering or related roles.
  • Strong SQL expertise with experience tuning queries and designing efficient schemas.
  • Hands-on experience with Airflow for workflow orchestration.
  • Familiarity with AWS services especially Athena S3 and Glue.
  • Experience building analytics dashboards with Metabase or similar BI tools.
  • Understanding of Medallion Architecture and layered data pipelines.
  • Strong understanding of startup product metrics and how to translate them into analytics workflows.
  • Proficiency in Python for data engineering and ETL tasks.
  • Collaborative and able to work cross-functionally with product and business teams.

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