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Senior Data Engineer

TRACTIAN 𝗕𝗥

Role overview

Qualifications

  • Bachelor degree in Data Science, Statistics, Computer Science, or a related field.
  • 2+ years of experience in Data Engineering or Analytics.
  • Advanced English and Portuguese.
  • Highly experienced in SQL and database management systems such as PostgreSQL and Clickhouse.

Responsibilities

  • Develop and maintain scalable data pipelines and ETL processes.
  • Design, implement, and optimize existing data extraction and loading processes.
  • Lead data engineering reliability and observability.
  • Collaborate with backend and analytics engineers in a holistic data engineering process.

About the company

TRACTIAN 𝗕𝗥 logo

TRACTIAN 𝗕𝗥

Industrial Automation

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
IndustryIndustrial Automation
Company size51 - 200

Links

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Job description

Analytics at TRACTIAN

The Data Engineering team is responsible for building and maintaining the infrastructure that handles massive datasets flowing through TRACTIAN’s systems. This department ensures the availability, scalability, and performance of data pipelines, enabling seamless access and processing of real-time and historical data. The team’s core objective is to architect robust, fault-tolerant data systems that support everything from analytics to machine learning, ensuring that the right data is in the right place, at the right time.


What you'll do

As a Data Engineer, you will build data pipelines that enable data extraction, loading and transformation for several contexts. The goal is to have a reliable, available and trustworthy system that backbones the entire analytics pipeline. The challenges may vary from large datasets to high data throughput systems, not being reduced to a small set of techniques for data handling. You will also lead initiatives on data pipelines reliability and observability.

Responsibilities
  • Develop and maintain scalable data pipelines and ETL processes.
  • Design, implement, and optimize existing data extraction and loading processes with adequate data engineering design patterns.
  • Lead data engineering reliability and observability, increasing analytics team awareness of the data flow processes before it becomes an issue.
  • Collaborate with backend and analytics engineers in a holistic data engineering process, loading data accordingly with the technical requirements.
  • 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

    • Requirements
  • Bachelor degree in Data Science, Statistics, Computer Science, or a related field.
  • Advanced English and Portuguese.
  • 2+ years of experience in Data Engineering or Analytics.
  • Highly experienced in SQL and database management systems such as PostgreSQL and Clickhouse .
  • Strong understanding of data warehousing concepts and experience with ETL tools (e.g., Airflow, dbt).
  • Strong experience with programming languages such as Python with modern data stack for data engineering (e.g. DuckDb, Polars...)
  • Experience with streaming tools (e.g. Kafka).
  • Experience with cloud-based data platforms like AWS Redshift.
  • Experience with GoLang/Rust is a plus.
  • Experience with observability tools is a plus (e.g. Datadog, Grafana)
    •

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    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
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