Grupo QuintoAndar | Data Engineer

Knowledge in Big Data technologies, solutions, and concepts (Spark, Hive, MapReduce) and multiple languages (YAML, Python) Experience with Airflow, Spark, AWS and Databricks Strong foundation in software engineering principles, with experience working on data-centric systems Proficiency in Python, or one of the main programming languages, and a passion for writing clean and maintainable code Strong knowledge in optimizing SQL query performance Has experience in building multidimensional data models (Star and/or Snowflake schema) Understanding of the data lifecycle and concepts such as lineage, governance, privacy, retention, anonymization, etc. Knowledge in infrastructure areas such as containers and orchestration (Kubernetes, ECS), CI/CD strategies, infrastructure as code (Terraform), observability (Prometheus, Grafana), among others Excellent communication skills, proactively sharing and collaborating with both technical and non-technical stakeholders to translate business needs into scalable data solutions Curiosity, detail-orientation, and thrive in a fast-paced, data-driven environment

Build and maintain a high-performance data platform Create and edit data pipelines, considering business logic, data quality, and transformations Create data modeling and transformation workflows Responsible for the entire code development lifecycle Investigate inconsistencies and trace the source of differences (data troubleshooting) Enable teams to access and use data more effectively through self-service tools Align with stakeholders to understand needs and propose extensible, scalable, and incremental solutions Conduct PoCs and benchmarks to determine the best tool for a given problem Contribute to defining the strategic vision Advocating for the value of data analytics and engineering within the organization and fostering a data-driven culture