Senior Analytics Engineer
September 28
Description
• 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. • 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. • To make all this happen, we have more than 4,000 talented people, working with cutting-edge technology and best design practices. • 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. • 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. • Our technology team works on the "remote-first" model. • 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. • Our selection process currently lasts an average of 30-40 days, from application to completion of the assessment. • An Analytics Engineer is someone who understands business needs while applying best software engineering practices to implement data pipelines and create data abstractions that help the company make better decisions faster. • The workflow of analytics engineering aims to clean, transform, and model raw data into consumable information for strategic decision-making. • Responsibilities of an Analytics Engineer at QuintoAndar: Communicate with different stakeholders to understand their primary needs; • Create and edit data pipelines, considering business logic that best applies to the area in question.
Requirements
• Has experience in building multidimensional data models (Star and/or Snowflake schema); • Has strong SQL skills and feels comfortable with complex SQL; • Is familiar with ELT/ETL pipelines; • Has experience with Python; • Knows columnar storage solutions (such as Amazon Redshift and Apache Parquet); • Has 3 or more years of experience building pipelines; • Is proficient in English and/or Spanish - our code, documentation, tools, and materials are often structured in English. Sometimes, we communicate with colleagues and vendors from other countries; • Is free of any prejudice. • Good communication skills and experience working with multiple teams; • Experience with Airflow, Spark, and Databricks; • Strong knowledge in optimizing SQL query performance; • Experience in building semantic layers.
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*.
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