Data Engineer at TRACTIAN (W21)
Listen to your machines! Superpowers for your maintenance teams.
São Paulo, Brazil
Full-time
3+ years
About TRACTIAN

🧢 TRACTIAN has quickly become the fastest-growing industrial startup, enabling from SMBs to large enterprise businesses, like AbInBev, Embraer, John Deere, and Electrolux, to make their maintenance sweet. To date, we've raised $20MM of investments from the world's top fund, Y Combinator, among with Next47, DGF, Soma Capital, and others.

About the role
Skills: Cassandra, MongoDB, SQL, Data Warehousing, Data Modeling, PostgreSQL

Why join us

Tractian is reimagining industrial systems so every frontline worker can realize their full potential. As the industrial OS, we're building software and hardware in one place—disrupting long-entrenched institutions with products and experiences that better serve the ambitions of our customers.

Working at Tractian allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We'll give you challenging goals and expect you to figure out the details of how to get there. We are a growth-stage startup and you will work directly with the founders, helping to define the vision, product and user experience.

Data at Tractian

The Data organization develops infrastructure, statistical models, and products using IoT data. Our Scientists and Engineers work together to make data—and insights derived from data—a core asset across the company. Our work is ingrained in Tractian’s decision-making process, in the efficiency of our operations and insights, and in the industry-leading experience we provide our consumers.

What you'll do

Being a strong partner to the Data Team, as a Data Engineer, you will support Database Platform Engineering in the architecture, development, and deployment of Cassandra technology in high SLA environments. This includes, but is not limited to, advanced to expert engineering and implementation of the requirements of the role.

Responsibilities

  • Install, configure, monitor, upgrade and maintain Cassandra/Scylla databases in production and non-production environments
  • Manage, support, and maintain database NoSQL (MongoDB) and SQL (PostgreSQL) technologies and infrastructures, adhering to the architectural guidelines and policies
  • Physical implementation of databases, storage structures, high-availability solutions, replication, and disaster recovery solutions
  • Regular database capacity planning related to database growth and system utilization, trend analysis, predictive future database resource requirements, and the structured organized reporting of the same
  • Adapt business requirements, model data, and develop database specifications, tables, and element attributes
  • Ability to work well as a team and as an individual with minimal supervision

Requirements

  • 3+ yrs of SQL and/or NoSQL experience
  • 2+ years of Cassandra/Scylla DBA experience
  • 1+ year of prior contact with Python
  • 1+ year of exposure to JavaScript
  • Experience in shell scripting / terraform
  • Ability to complete tasks independently

Bonus Points

  • Experience with data storage solutions, working with different databases (S3 or Mongo)
  • Knowledge designing event-driven applications (like Kafka)

Compensation

  • Competitive salary and stock options
  • GymPass so you don't sit/work all day
  • 30 days of paid annual leave
  • Education and courses stipend
  • Every 3 years, earn a trip anywhere in the world
  • Day off in the week of your birthday
Technology

Develop products and services that meet the needs of our customers Work with the founders and together with other full-stack engineers Develop the highly scalable and secure infrastructure to enable Tractian to handle large numbers of users and data Create and maintain our micro-services Bring to life the new platform graphics that maintenance managers use daily Interact with non-relational databases and create new REST APIs Experience in Javascript (ReactJS and NodeJS) Experience in non-relational database (MongoDB) Good domain of Python and its best practices Solid experience with Pandas and Sklearn e Numpy Knowledge of NoSQL databases Differential: Knowledge in DevOps, Typescript and Clean Architecture

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