Grupo QuintoAndar | Staff Data Engineer (Women Applicants Only)
- Seniority
- Staff Principal
- Work model
- LatAm-friendly
- Location
- Brasil
- Posted
- 18d ago
pythonawskubernetesterraformsnowflakedatabrickssparkairflowci/cd
<p><strong>About Grupo QuintoAndar</strong></p> <p></p> <p data-path-to-node="0">We are QuintoAndar Group, Latin America’s largest real estate ecosystem. Guided by the purpose of helping people love where they live, we develop technology and solutions that simplify the entire housing journey, from renting to buying and selling.</p> <p data-path-to-node="1">Operating in 6 countries (Brazil, Mexico, Argentina, Peru, Ecuador, and Panama) along with a tech hub in Portugal, we bring together over 3,100 people united by the challenge of transforming the industry. Backed by global investors such as SoftBank, General Atlantic, and Kaszek, we have raised over $755 million and are valued at $5.1 billion.</p> <p data-path-to-node="2">We lead the market’s transformation by pioneering the large-scale application of Artificial Intelligence in real estate. Our platforms accumulate over 50 million monthly visits, managing more than 350,000 active rental contracts and processing R$ 20 billion annually.</p> <p data-path-to-node="3">If you are looking to solve complex problems with autonomy, cutting-edge technology, and massive scale impact, come on in—make yourself at home</p> <p>Here, you will work with top professionals in the market, in an environment that breathes innovation, collaboration, and high performance. To learn more about our story, visit:<a href="https://grupoquintoandar.com/pt/"> </a><a href="https://grupoquintoandar.com/pt/">https://grupoquintoandar.com/pt/</a>.</p> <p> </p> <p><strong data-path-to-node="1" data-index-in-node="0">Why is this a diversity-focused position for women?</strong><br>At QuintoAndar Group, we are committed to promoting gender diversity across our teams. We want to see more women in strategic positions within our technical teams, and we believe we can achieve this through intentional opportunities and actions. This is part of a larger plan to strengthen an equitable culture across multiple aspects. It is worth noting that for this vacancy, our selection process has not undergone any changes in terms of stages or evaluation methods.</p> <p><strong>Location & Remote Work</strong></p> <p>Our technology team operates under a "remote-first" model, which means we work from home and can live anywhere in Brazil. We also offer the option of working from our São Paulo offices or partner coworking spaces, up to twice a week.</p> <p> </p> <p><strong>Hiring Process Stages</strong></p> <p>The stages of our hiring processes aim to assess your experiences and allow you to meet our teams and explore career opportunities. They are structured as follows:</p> <ul> <li>Application</li> <li>Interview with Recruiter</li> <li>Tech Screening</li> <li>Technical Interviews with Data Team</li> <li>Offer</li> </ul> <p> </p> <p><strong>About the Role</strong><br>We are looking for a skilled and motivated Data Engineer Specialist to join our team. The responsibilities of this role is to design, build, and maintain a robust, self-service, scalable, and secure data platform and end-to-end data pipelines that empowers Data Analysts, and Data Scientists to deliver insights and drive strategic decision-making. </p> <p> </p> <p><strong>Responsibilities of a Data Engineer at QuintoAndar:</strong></p> <ul> <li>Build and maintain a high-performance data platform that meets the company's needs, connects with product solutions, and leads analytical innovation, enabling incredible architectures and efficient platforms;</li> <li>Create and edit data pipelines, considering business logic that best applies to the area in question, choosing levels of aggregation, grouping and transforming fields, checking data quality, and cleaning the data;</li> <li>Create data modeling and transformation workflows, enabling the creation of clear and accessible data abstractions;</li> <li>Responsible for the entire code development lifecycle (monitoring deployment, documentation, performance, security, adding metrics and alarms, ensuring SLO budget compliance, and more);</li> <li>Investigate inconsistencies and be able to trace the source of differences (data troubleshooting);</li> <li>Enable teams across the company to access and use data more effectively through self-service tools and well-modeled datasets;</li> <li>Align with stakeholders to understand their primary needs, while also having a holistic view of the problem and proposing extensible, scalable, and incremental solutions;</li> <li>Conduct PoCs and benchmarks to determine the best tool for a given problem, and decide whether to use an off-the-shelf solution or develop one in-house;</li> <li>Contribute to defining the strategic vision, crossing team and service boundaries to solve problems;</li> <li>Advocate for the value of data analytics and engineering within the organization and fostering a data-driven culture;</li> <li>Be a reference within the chapter on technical concepts, tools, and/or best coding practices.</li> </ul> <p> </p> <p><strong>What we are looking for:</strong></p> <ul> <li>Specialist in technologies, solutions, and concepts of Big Data (Spark, Hadoop, Hive, MapReduce) and multiple languages (YAML, Python);</li> <li>Experience with Airflow, Spark, AWS and Databricks;</li> <li>Strong foundation in software engineering principles, with experience working on data-centric systems;</li> <li>Experience with columnar storage solutions and/or data lakehouse concepts;</li> <li>Proficiency in Python, or one of the main programming languages, and a passion for writing clean and maintainable code. </li> <li>Strong knowledge in optimizing SQL query performance;</li> <li>Experience in building multidimensional data models (Star and/or Snowflake schema);</li> <li>Understanding of the data lifecycle and concepts such as lineage, governance, privacy, retention, anonymization, etc.;</li> <li>Knowledge in infrastructure areas such as containers and orchestration (Kubernetes, ECS), CI/CD strategies, infrastructure as code