Data Engineer

Latin America's most valuable real estate tech company, simplifying the real estate ecosystem through technology.
Data
Hybrid
1,000 - 5,000 Employees
Real Estate

Description For Data Engineer

Grupo QuintoAndar, Latin America's leading real estate tech company valued at over $5.1 billion, is seeking a Data Engineer to join their team. The company revolutionizes the real estate market across multiple countries including Brazil, Mexico, Argentina, Peru, and Ecuador through their various brands.

The role offers an opportunity to work with cutting-edge technology in a team of 3,500+ talented professionals. As a Data Engineer, you'll be responsible for managing data ingestion and integrations from various sources, working with defined architectures, and ensuring proper documentation. The position requires expertise in ETL tools, database management, and modern data technologies.

The company offers a collaborative, innovative environment with constant learning opportunities. You'll be working on high-impact projects affecting thousands of people's lives. The selection process is thorough, typically lasting 30-40 days, ensuring the right fit for both parties.

Benefits include a competitive compensation package, health and dental coverage, parental leave, and various allowances. The company strongly values diversity and inclusion, maintaining an inclusive environment based on respect and celebrating different perspectives. They also implement strong data protection policies and maintain secure environments for all personal information.

The position is hybrid-based in Buenos Aires, Argentina, requiring excellent English skills for international collaboration. This is an excellent opportunity for a data professional looking to make an impact in a rapidly growing tech company that's transforming the real estate industry across Latin America.

Last updated 9 days ago

Responsibilities For Data Engineer

  • Support company's data ingestion needs
  • Handle integrations from different sources in a unified repository
  • Generate documentation between data sources and targets
  • Work with defined architectures

Requirements For Data Engineer

Python
MySQL
Kafka
  • Experience with ETL tools (Pentaho)
  • Knowledge of MySQL/SQL
  • Experience with Power BI or similar dashboards
  • Python programming skills
  • Experience with GCP Suite (Big Query, Composer, Data Catalog, Data Fusion, Cloud SQL)
  • Experience with APIs consumption and data integration (SAP, Salesforce)
  • Data modeling skills (DW/Data Lake)
  • Knowledge of Big Data technologies (Hadoop, Kafka, Nifi, Spark)
  • Excellent English skills (verbal and written)
  • Experience with Agile methodologies (Scrum)

Benefits For Data Engineer

Medical Insurance
Dental Insurance
Parental Leave
Education Budget
  • Competitive salary package
  • Bonus
  • Meal allowance
  • Health plan
  • Dental plan (optional)
  • Life insurance
  • Daycare subsidy
  • Gympass subsidy
  • Parental leave
  • Language learning support

Interested in this job?