Role overview

Qualifications

Degree in Computer Engineering, Data Science, Statistics, Computer Science, or a related field.
2+ years of experience in Data Science or Analytics.
Strong understanding in SQL for data modeling and experience with database management systems such as PostgreSQL and Clickhouse.
Strong understanding of data warehousing concepts and experience with ETL tools (e.g., Airflow, dbt).

Responsibilities

Develop and maintain scalable data pipelines and ETL processes to transform raw data into usable formats.
Design, implement, and optimize data models to support reporting and analytical needs.
Collaborate with business stakeholders to understand business requirements and translate them into technical specifications.
Ensure data quality and consistency across various sources by implementing data validation and cleansing techniques.

Key facts

Full time
Mid-level (2-5 years)
Portuguese

Hard skills

SQL (Programming Language) Data Modeling Computer Programming PostgreSQL Apache Airflow Power BI Tableau (Business Intelligence Software) Amazon Redshift Python (Programming Language)

Other skills

Communication

About the company

TRACTIAN 𝗕𝗥

A TRACTIAN é a startup industrial que mais cresce na América Latina e uma das 100 “Startups To Watch” selecionadas pela PEGN. Nosso time é composto por #BlueCaps das mais diversas especialidades e origens, todos unidos por um propósito comum: transformar a vida daqueles que garantem que nossos produtos cheguem com qualidade. Para isso, desenvolvemos um sistema preditivo que combina sensores de monitoramento de condição de máquinas a uma plataforma de inteligência artificial que analisa automaticamente os dados coletados e os disponibiliza às equipes de forma fácil e acessível, além de ter ferramentas que facilitam e automatizam a gestão de manutenção. É a solução mais completa do mercado, constantemente aprimorada pelo melhor time do mundo. Os Blue Caps são responsáveis por suas carreiras, crescendo rapidamente – assim como a empresa – através de projetos desafiadores, aprendizado constante e ritmo acelerado. Somos pessoas apaixonadas pelo que fazem e que transformam potencial em resultados. Crescemos, aprendemos e evoluímos juntos em um ambiente dinâmico e transparente. Nos reinventamos e buscamos novos desafios todos os dias para revolucionar o chão de fábrica e alcançar o status de startup unicórnio nos próximos quatro anos. Quer fazer parte da transformação das indústrias? A hora é agora. Confira nossas vagas abertas e venha vestir o Blue Cap!

Company details

Company typeScaleup

Company size51 - 200

Links

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Job description

Analytics at TRACTIAN

The Analytics team is responsible for building and maintaining from the data pipelines until the dashboards that feed up our customers and internal data products with relevant and actionable information. This department ensures reliable, trustworthy and meaningful data, merging them from several sources and delivering them in the edge efficiently. The team's core objective is to build reliable and insightful data products from the raw consumption of the data from different sources until the dashboards delivery to the consumer.

What you'll do

As an Analytics Engineer, you will build data products by designing, building, and maintaining robust data pipelines and dashboards that empower business teams with actionable insights. You will work closely with data analysts, data scientists, and business stakeholders to ensure data quality, optimize data workflows, and enable self-service analytics, driving data-informed decision-making across the organization.

Responsibilities

Develop and maintain scalable data pipelines and ETL processes to transform raw data into usable formats.

Design, implement, and optimize data models to support reporting and analytical needs.

Collaborate with business stakeholders to understand business requirements and translate them into technical specifications.

Ensure data quality and consistency across various sources by implementing data validation and cleansing techniques.

Work with cloud-based data warehouses and analytics platforms to manage and store large datasets.

Monitor and troubleshoot data pipelines to ensure reliable and timely delivery of data.

Document data processes, workflows, and best practices to enhance team knowledge and efficiency.

Create dashboards as data products as internal or external products

Requirements

Degree in Computer Engineering, Data Science, Statistics, Computer Science, or a related field.

2+ years of experience in Data Science or Analytics.

Strong understanding in SQL for data modeling and experience with database management systems such as PostgreSQL and Clickhouse.

Strong understanding of data warehousing concepts and experience with ETL tools (e.g., Airflow, dbt).

Experience with BI tools (e.g., PowerBi, Looker, Tableau)

Experience with cloud-based data platforms like AWS Redshift.

Experience with programming languages such as Python.

Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Advanced/fluent Portuguese.