Grupo QuintoAndar | Senior Data Platform Engineer – Grupo QuintoAndar

Titulo da Vaga: Grupo QuintoAndar | Senior Data Platform Engineer

Nome da Empresa: Grupo QuintoAndar

Localização: São Paulo – SP

Descrição da Vaga: 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. 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.

About the Position: The main goal of the data engineering team is to build and maintain data pipelines and processes to create a high-performance, self-service platform for Analytics Engineers, Data Analysts, and Data Scientists. This platform will enable them to build excellent pipelines easily, with abstractions ready for reliability, scalability, performance, security, quality, profiling, documentation, lineage, and more.

Responsibilities of a Data Platform Engineer at QuintoAndar:

• Build and maintain a high-performance data platform that meets the company’s needs, connects with product solutions, and leads analytical innovation.
• Responsible for the entire code development lifecycle (monitoring deployment, adding metrics and alarms, ensuring SLO budget compliance, and more).
• Align with stakeholders to understand their primary needs, while also having a holistic view of the problem and proposing extensible, scalable, and incremental solutions.
• 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.
• Contribute to defining the strategic vision, crossing team and service boundaries to solve problems.

Requirements:

• Knowledge in Big Data technologies, solutions, and concepts (Spark, Hive, MapReduce) and multiple languages (YAML, Python).
• Proficiency in Python, or one of the main programming languages, and a passion for writing clean and maintainable code.
• 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 have participated in building large-scale data platforms for big data sets and teams using Big Data technologies.
• You have knowledge of AWS and GCP cloud resources.
• You have experience with Apache Airflow or other tools for data workflows.
• You have experience with columnar storage solutions and/or data lakehouse concepts.
• You are curious about rapidly evolving technologies in the data engineering domain and eager to learn and master them.

Benefits:

• Competitive salary package.
• Bonus.
• Meal allowance.
• Health plan.
• Dental plan (optional).
• Life insurance.
• Daycare subsidy.
• Subsidy to sports practicing.
• Extended maternity and paternity leave.
• Language learning support.