Staff Data Platform Engineer - São Paulo, Brasil - Grupo QuintoAndar

Descrição

About QuintoAndar:

QuintoAndar was born to do something very rewarding: open doors. We opened doors for technology to be part of living. And, through it, we simplify and reduce the bureaucracy of the experience of those looking for a new home. Thus, we became the most valuable proptech in Latin America, leading the real estate market in around six countries and more than 75 cities around the globe.

The first steps in the international market have been taken since we acquired Grupo Navent, which is ranked number 1 in Mexico (Inmuebles24), Argentina (Zonaprop), Peru (Adondevivir & Urbania) and Ecuador (Plusvalia) - among others. And most recently, we launched Benvi, our international brand in Mexico, which comes with our residential rental product and service.

We offer an end-to-end ecosystem to make life easier for those looking to rent or buy a home, sell a property and unlock a transaction. Think of zero paper or bureaucracy: everything happens on a single platform, with transparency and speed alongside incredible human support.

We are currently valued at over $5.1 billion (August 2021) and continue to grow 4x year over year, breaking records.

To make all this happen, we have more than 4,000 talented people, working with cutting-edge technology and best design practices to ensure a seamless experience throughout the sales and rental process, combined with smart financial products. Here you will work with the best professionals in the market, in an environment that breathes innovation, collaboration and high performance.

To learn more about our history, visit

About working at QuintoAndar:

• Possibility of learning;
• Opportunity to work in a team that seeks to use the best practices and tools in the market;
• Work in an informal environment with a horizontal structure;
• Being part of a team working on a high-impact project that affects the lives of thousands of people.

Location & Remote Work

Our technology team works on the "remote-first" model, which means we are working from home with the possibility of living anywhere in Brazil. We also have the option of using QuintoAndar's offices in São Paulo and Campinas or using partner coworking spaces, both up to twice a week.

Stages of the Selection Process

Our selection process currently lasts an average of 30-40 days, from application to completion of the assessment. Going through:

• Application
• Phone interview with Recruiters
• Interviews with Data Team
• Reference Check
• Offer

About the area

The main objective of the data engineering team is to identify the company's needs related to data analysis, science, and engineering in order to build a high-performance, self-service platform for Analytics Engineers, Data Analysts, and Data Scientists. This enables them to build excellent pipelines in a simple manner with ready-made abstractions for reliability, scalability, performance, security, quality, profiling, documentation, lineage, among other factors.

Responsibilities of a Staff Data Platform Engineer at Grupo QuintoAndar:

• Being a reference for your team;
• Discussing business and engineering requirements with analysts, engineers, and various stakeholders at a deep level, while anticipating risks;
• Defining a software development process that helps your team be more productive;
• Building an excellent team by recruiting great talents and helping them grow;
• Being willing to be hands-on when necessary.

Here are some amazing projects we've worked on:

• We migrated our entire legacy infrastructure with transactional strategies to distributed processing environments, gaining more scalability and flexibility.
• We designed an architecture capable of storing metadata and exposing a data catalog company-wide, further enhancing reliability and understanding of the data.
• We also worked on LGPD compliance by connecting anonymization strategies, access control, and metadata management to ensure secure access and sharing.
• Additionally, we centralized access to analytical data, separating data storage from processing, retention, and discovery.

Requirements

• Drives execution by organizing teamwork, setting goals, and holding the team accountable;
• Is effective at finding ways to leverage team productivity, facilitating their technical work;
• Specializes in Big Data technologies, solutions, and concepts (Spark, Hadoop, Hive, MapReduce) and multiple languages (YAML, Python);
• Proficiency in Python, or one of the major programming languages, and passionate about writing clean and maintainable code. You might even be a Software Engineer with a focus or passion for data-driven solutions;
• Understands the data lifecycle and concepts such as lineage, governance, privacy, retention, anonymization, etc.;
• Excellent communication skills, proactively sharing and seeking context to collaborate with different teams.

You will stand out if:

• Be capable of guiding data engineering teams to develop projects with broad technical scope, including solutions that impact the business domains of various tribes;
• Be an expert in building large-scale data platforms for big datasets and teams, using Big Data technologies such as Spark, Trino, Hive, Datahub, Superset, Ranger, etc;
• Be fluent in AWS and GCP cloud resources;
• Have strong experience with Apache Airflow or other data workflow tools;
• Have strong experience with columnar storage solutions and/or data lakehouse concepts;
• Have knowledge in infrastructure areas such as containers and orchestration (Kubernetes, ECS), CI/CD strategies, infrastructure as code (Terraform), observability (Prometheus, Grafana), among others;
• Understand how optimization works in various scenarios and how it can be improved, such as query performance, service scalability, and cluster management;
• Be curious about rapidly evolving technologies in the field of data engineering and be eager to learn and master them, bringing significant impact to our team.

Benefits

• Competitive salary package;
• Bonus
• Meal allowance ("Flash benefícios");
• Health plan;
• Dental plan (optional);
• Life insurance;
• Daycare subsidy;
• Subsidy to sports practicing (Gympass).
• Extended maternity and paternity leave;
• Reserved room for breast-feeding*;
• Discount on our parking lot;*
• Language learning support;
• Free transfer from Vila Madalena and Fradique Coutinho stations to the office*;
• Free bike rack in our parking lot.*

Diversity & Inclusion at QuintoAndar

At QuintoAndar, we believe diversity of perspectives and experiences guarantee a differentiated work environment, based on respect and valuing differences. Feel free to declare the information on the registration form. If you are not comfortable answering them, just choose the option "I prefer not to respond". This information helps us create an increasingly inclusive environment and it is used only for this purpose, it is confidential, and it will not impact your performance throughout the hiring process

All of our job positions are open to people with or without disabilities. If you are a PWD and have not found any opportunities of your interest, register your resume in our talent pool, by clicking here..

Privacy and Data Protection

In order to apply for one of our jobs roles, we will need to collect some of your personal data necessary for us to review your application and to contact you. We believe that the diversity of perspectives and experiences guarantees a differentiated work environment, based on respect and appreciation of differences. For this reason, we have several affirmative jobs, and information regarding your gender, ethnicity/race, and disability may be collected in the process.

All data processed is confidential and will be stored in a secure place for the time necessary to fulfill its purposes, with appropriate technical and administrative measures being adopted to protect your information.

If you have any questions, please contact us via the following page.