Senior Data Engineer

São Paulo /
Engineering – Research and Development /
Full Time - remote
Cloudwalk is an AI first company building its own technology to bring justice to the broken payment system in Brazil. Our main initiative is called InfinitePay, which is the fastest growing payments acquirer in Latam. We hustle and celebrate as we change the market landscape and raise the bar in payments processing. We are making it cheaper and faster to receive payments and thus help to maximize small businesses' growth. Our technology has already processed more than US$3 BI and it's just the beginning.

Everywhere around is data. From the code inside the DNA that defines life to the immense amount of bytes sent over the internet each day. To be of use, this data needs to be transferred, transformed and stored in ways that allow artificial and human intelligence to make sense of it. Doing this the right way is an artform. If you like this art as much as we do, join us!

The Data Team at Cloudwalk is responsible for making the company a data centric place, where data is a number one citizen. From preparing dataset for machine learning models to improving the performance of the database and building reusable data frameworks, it includes a broad spectrum of tasks and skills.
We are looking for a candidate with a strong background in building successful products (end-to-end), who is comfortable in dealing with lots of moving pieces, with great attention to detail. As a member of the data team, you are expected to be a self starter, who identifies problems and finds creative solutions to them.

What you'll be doing:

    • Design, develop, test, deploy, maintain, and improve data pipelines in the Cloud (Batch and Streaming);
    • Build a highly scalable data infrastructure;
    • Identify bugs and performance issues across the stack;
    • Keep our data secure and compliant with international data handling rules;
    • Design and develop RESTful APIs.

What you need to succeed:

    • Bachelor's Degree in Engineering, Maths, Statistics, Finance, Computer Science, or related industry experience;
    • Have previously worked as a data engineer;
    • Experience developing software in one or more programming languages (Python, Ruby, etc);
    • Strong SQL skills;
    • Experience building end-to-end data pipelines and deploying in the Cloud;
    • Experience with big data tools, e.g. Hadoop, Spark, Kafka, Apache Beam, Apache Airflow etc;
    • Should be self-motivated and passionate about bringing efficiency into the system through optimizations;
    • Experience with Relational Databases e.g. PostgreSQL, MySQL;
    • Experience with relational and dimensional modeling;
    • Excellent English communication skills and the ability to have in-depth technical discussions. (Portuguese not required)

    • Nice to haves:
    • Experience with Google Cloud Platform;
    • Familiarity with data privacy regulations and best practices;
    • Experience with NoSQL databases;
    • Understanding of AI/ML models.
As a member of a fully remote and distributed team, you are expected to complete tasks autonomously, being highly collaborative and self-driven.

Diversity and Inclusion
We believe in social inclusion, respect, and appreciation of all people. We promote a welcoming work environment, where each CloudWalker can be authentic, regardless of gender, ethnicity, race, religion, sexuality, mobility, disability, or education.