Grupo QuintoAndar | Data Platform Engineer Specialist

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 https://quintoandar.group/en/.

About Grupo QuintoAndar:

We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America. Guided by a shared purpose of helping people love where they live, we have a diverse portfolio of brands and solutions that cover all stages of the journey of living. We develop technologies and innovations that transform and leverage the whole living experience.

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.

Language

This job description is written in English because for that position you will need it for communications with coworkers and suppliers who are from worldwide, for tools and internal materials as well. // A descrição desta vaga está escrita em Inglês porque para esta posição é necessário para a comunicação com colegas e fornecedores, que são de diferentes países, além do uso de ferramentas e materiais internos.

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
• Tech Screening
• Interviews with DPE Team
• Phone interview with Recruiters
• 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 Data Platform Engineer Specialist at Grupo QuintoAndar:

• Build and maintain a high-performance data platform that meets the company's needs, connects with product solutions, and leads analytical innovation, enabling amazing architectures and efficient platforms;
• Responsible for the entire lifecycle of code development (monitoring deployment, adding metrics and alarms, ensuring SLO budget, and more);
• Align with stakeholders to understand their primary needs, but also have a holistic view of the problem and propose extensible, scalable, and incremental solutions;
• Conduct PoCs and benchmarks to determine the best tool for a given problem, as well as understand whether to use market solutions or develop internally;
• Contribute to defining the strategic vision, crossing team and service boundaries to solve problems;
• Be a reference within the chapter on technical concepts, tools, and/or best coding practices.

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

• Specialist in technologies, solutions, and concepts of Big Data (Spark, Hadoop, Hive, MapReduce) and multiple languages (YAML, Python);
• Proficiency in Python, or one of the major programming languages, and a passion for writing clean and maintainable code. You might even be a Software Engineer with a focus or passion for data-oriented solutions;
• Understanding of 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:

• You are a specialist in building large-scale data platforms for large datasets and teams, using Big Data technologies such as Spark, Kafka, Debezium, Trino, Hive, Atlas, Ranger, etc.;
• You are fluent in AWS and GCP cloud features;
• You have strong experience with Apache Airflow or other tools for data workflows;
• You have strong experience with columnar storage solutions and/or data lakehouse concepts;
• You have knowledge in the area of infrastructure such as containers and orchestration (Kubernetes, ECS), CI/CD strategies, infrastructure as code (Terraform), observability (Prometheus, Grafana), among others;
• You understand how optimization works in various scenarios and how it can be improved, such as query performance, service scalability, and cluster management;
• You are curious about rapidly evolving technologies in the domain of data engineering and eager to learn and master them, bringing a significant impact to our team.

Important:

• Our selection process starts with the application! If you are truly interested in joining our team, make sure to put in extra effort at this stage. We review all candidates individually and provide feedback even to those who do not proceed in the process;
• All communication is done via email, so be attentive to our messages and whitelist the @quintoandar.com.br domain to prevent our emails from going to spam.

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

Data Protection Policy
The information you provide in the recruitment process form is confidential and stored in a secure environment. We have implemented technical and administrative measures to protect your data. To learn more about how we handle personal data, please visit our Privacy Policy.
To exercise your rights regarding your personal data, such as access to data, confirmation of processing, correction of data, anonymization, blocking or deletion, and other rights with the QuintoAndar Group, please contact us through our Customer Service Channel.

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