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Grupo Urbam Tech Stack

Waste management and logistics operator with data infrastructure build-out

Environmental Services Rio De Janeiro, Rio De Janeiro 501–1,000 employees Founded 2003 Privately Held

Grupo Urbam is a waste-collection and transport operator across Rio de Janeiro and surrounding municipalities, now building internal data capability. The tech stack reveals an engineering-in-progress story: Python, SQL, Spark, Airflow, Databricks, and dbt point to a data team constructing ETL/ELT pipelines and a data lakehouse, while hiring remains junior-heavy and concentrated in ops and logistics. Pain points around pipeline reliability and cost optimization suggest they're scaling data volume faster than their current infrastructure.

Tech Stack 15 technologies

Core StackHubSpot Python Apache Spark PySpark Apache Airflow Databricks AWS Glue dbt AWS Power BI LinkedIn Sales Navigator Apollo Pipefy Google Workspace SQL

What Grupo Urbam Is Building

◆Challenges

Expanding b2b client base
High-volume data processing
Cost optimization of data pipelines
Data pipeline reliability

▲Active Projects

Etl/elt automation
Data lakehouse architecture

Hiring Activity

Steady10 roles · 4 in 30d

Department

Ops

5

Logistics

3

Data

1

Engineering

1

Sales

1

Support

1

Seniority

Junior

8

Mid

3

Senior

1

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About Grupo Urbam

Grupo Urbam specializes in the collection, transport, and disposal of unusual and organic waste across Rio de Janeiro and the greater Rio metropolitan area. Founded in 2003, the company operates a fleet distributed across multiple neighborhoods and municipalities, including a fully electric collection truck deployed as part of sustainability efforts. The 501–1,000 employee organization serves B2B clients in the waste-management sector and is actively expanding its commercial customer base while modernizing its operational and data systems.

HeadquartersRio De Janeiro, Rio De Janeiro

Company Size501–1,000 employees

Founded2003

Hiring MarketsBrazil

Frequently Asked Questions

What is Grupo Urbam's tech stack?

Python, SQL, Apache Spark, PySpark, Apache Airflow, Databricks, AWS Glue, dbt, and AWS for data infrastructure; HubSpot, Pipefy, and Apollo for commercial operations; Power BI for analytics.