Senior Data Engineer

Topsort; São Paulo; Híbrido; BRL 240.000 - 300.000; Tempo integral

Resumo da oferta

A growing Retail Media company is looking for a Senior Data Engineer in São Paulo. You will design and maintain data infrastructure and collaborate with teams to enhance data-driven decision-making. Ideal candidates have 5+ years of experience, strong SQL skills, and proficiency in AWS. The role offers a collaborative team environment and excellent growth potential.

Serviços

Flexible PTO schedule with floating holidays

Company offsite events

Use of meditation app

Qualificações

• 5+ years of experience in data engineering or a related field.
• Hands-on experience with AWS cloud data services.
• Experience implementing CI/CD for data pipelines.

Responsabilidades

• Design, develop, and maintain robust ETL/ELT pipelines.
• Collaborate with data scientists and analysts to support initiatives.
• Monitor and troubleshoot data workflows for system reliability.

Conhecimentos

SQL

Python

Data pipeline orchestration tools

Data modeling

Problem-solving

Formação académica

Bachelor's or Master's degree in Computer Science or Engineering

Ferramentas

PostgreSQL

AWS

Apache Airflow

Apache Spark

Descrição da oferta de emprego

We\'re quickly growing and super excited for you to join us!

Overview

Why Topsort? Why now?

Topsort is changing the way Retail Media works. By joining our scaling team, you\'ll feel your impact from day 1. The processes and messaging you build today will be a critical part of our foundation as we accelerate toward 200 Topsorters worldwide, and your innovations will leave a lasting mark on the industry as a whole. Retail Media is on the verge of a new era, and Topsort is gathering the ecosystem together to shape a brighter future. Joining us now, you\'ll work directly alongside our co-founders and founding members to bring on Retail Media 3.0. If you\'re looking to define your career as something greater than yourself, come scale with us.

What it’s like to work at Topsort

Our team is all about straightforward communication, embracing feedback without taking it personally, and fostering a super collaborative environment. It’s a sports team that’s hyper focused on winning, collaborative internally, and competitive externally - never the other way around. We thrive on working in the open, lifting each other up, and getting things done with a sense of urgency. We\'re the kind of team that loves making bold choices, sharing extraordinary opinions, and maintaining a 100 mph pace. No endless meetings here – if it can be done today, we\'re all about getting it done today.

What is this role like?

As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable data infrastructure and pipelines. You will collaborate with cross-functional teams to ensure the availability, reliability, and efficiency of data systems, enabling data-driven decision-making across the organization.

• Design, develop, and maintain robust ETL/ELT pipelines to process and transform large datasets efficiently.
• Optimize data architecture and storage solutions to support analytics, machine learning, and business intelligence.
• Work with cloud platforms (AWS) to implement scalable data solutions.
• Ensure data quality, integrity, and security across all data pipelines.
• Collaborate with data scientists, analysts, and software engineers to support data-driven initiatives.
• Monitor and troubleshoot data workflows to ensure system performance and reliability.
• Create APIs to provide analytical information to our clients.

What (we think) you need to be successful

• Bachelor\'s or Master\'s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering or a related field.
• Strong proficiency in SQL and database technologies with (e.g., PostgreSQL, MySQL, Snowflake, BigQuery).
• Experience with data pipeline orchestration tools (e.g., Apache Airflow, Prefect, Dagster).
• Proficiency in programming languages such as Python and Scala.
• Hands-on experience with AWS cloud data services.
• Familiarity with big data processing frameworks like Apache Spark.
• Knowledge of data modeling, warehousing concepts, and distributed computing.
• Experience implementing CI/CD for data pipelines.
• Real-time data processing and streaming architectures (RisingWave, Kafka, Flink).
• Database performance tuning and query optimization.
• Strong problem-solving skills and the ability to work independently and collaboratively.
• ETL/ELT pipeline development and automation.
• Cloud computing and infrastructure management on AWS (nice to have).
• Location preferred: Santiago or Sao Paulo.

Why it’s awesome to work at Topsort

• Direct Feedback and Rapid Growth: We work hard, set aggressive goals and execute flawlessly to accomplish them. We give candid feedback, push each other to set higher goals and produce more impact by always thinking “how do we do this faster and better”.
• Be part of an elite and collaborative sports team: We believe startup scaleup is just like a team sport. It\'s been written in our motto since day 1 that we are collaborative internally, competitive externally, and never the other way around. You are surrounded by teammates who are here to help you get the job done and shine as a team.
• Company Offsite and Industry Exposure: Once a year Topsorters get together as a whole and also meet customers to gather feedback.
• Working Equipment and Hubs: Our team is global and centered around hubs, which means you\'re welcome to a hybrid schedule and encouraged to travel to other hubs to collaborate. We provide working devices and support for events.
• Flexible PTO schedule with floating holidays: We encourage time off and respect different cultural norms, offering floating holidays to accommodate celebrations.
• Meditation App, Birthday and Anniversary Celebrations: We like little surprises and remember key moments to celebrate with you!

Are you located in Santiago or Sao Paulo? Preference is given to those locations for coordination, but not mandatory to work on the role.