Grupo QuintoAndar | Staff Data Engineer
Grupo QuintoAndar3 months ago
São Paulo, BrazilStaff+
Responsibilities
- Build and maintain a high-performance, scalable, secure, and self-service data platform.
- Create, maintain, and troubleshoot end-to-end data pipelines, including business logic, aggregation, transformation, cleaning, and quality checks.
- Develop data models and transformation workflows that provide clear and accessible data abstractions.
- Own the full code lifecycle, including deployment monitoring, documentation, performance, security, metrics, alarms, and SLO budget compliance.
- Enable teams across the company to use data effectively through self-service tools and well-modeled datasets.
- Partner with stakeholders to understand needs and propose extensible, scalable, and incremental solutions.
- Conduct proofs of concept and benchmarks to select tools or determine whether to build solutions in-house.
- Contribute to strategic technical vision across team and service boundaries.
- Advocate for data analytics and engineering and serve as a technical reference within the chapter.
Requirements
- Specialist knowledge of Big Data technologies, solutions, and concepts including Spark, Hadoop, Hive, and MapReduce.
- Experience with Airflow, Spark, AWS, and Databricks.
- Strong software engineering foundation and experience with data-centric systems.
- Experience with columnar storage solutions or data lakehouse concepts.
- Proficiency in Python or another major programming language, with an emphasis on clean and maintainable code.
- Strong knowledge of SQL query performance optimization.
- Experience building multidimensional Star or Snowflake data models.
- Understanding of data lifecycle, lineage, governance, privacy, retention, and anonymization.
- Knowledge of containers, orchestration, infrastructure as code, and observability, including Kubernetes, ECS, Terraform, Prometheus, and Grafana.
- Proficiency in English for code, documentation, tools, and materials.
- Strong communication and collaboration skills with technical and non-technical stakeholders.
- Experience as a tech or project lead, or in a similar role.
- Preferred experience building large-scale data platforms with technologies such as Spark, Trino, Hive, Atlas, and Ranger.
- Experience building semantic layers is preferred.
- Curiosity, attention to detail, and ability to thrive in a fast-paced, data-driven environment.
Benefits
- Competitive salary, profit sharing, meal allowance, health insurance, dental plan, and life insurance.
- Childcare and Atypical Parenthood subsidies, Wellhub, home office allowance, and employee assistance support.
- Extended parental leave and days off for birthdays, Mother’s Day, and Father’s Day.
- Benefits Club discounts, educational institution discounts, and a children’s reading kit through PlayKids.
- Remote-first work from anywhere in Brazil, with the option to work from São Paulo offices or partner coworking spaces up to twice a week.
Tech Stack
Apache AirflowApache HadoopApache HiveApache SparkAWSDatabricksGrafanaKubernetesPrometheusPythonSQLTerraform
Categories
Data Engineering
About Grupo QuintoAndar
Grupo QuintoAndar builds a digital real estate ecosystem across Latin America, spanning rental and sales marketplaces, brokerage, property management, classifieds portals, SaaS for brokers, and housing-related financial services. It serves renters, owners, and agents with brands including QuintoAndar, Casa Mineira, Benvi, Imovelweb, Zonaprop, VivaAnuncios, and Inmuebles24, generating revenue from brokerage/marketplace fees, subscriptions, and financial products. Founded in 2013 and headquartered in São Paulo, Brazil, the company is privately held and active in multiple Latin American markets.