Data Engineer

Digital platform focused on improving lives in Latin America through auto, real estate, and corporate benefits ecosystems, offering fintech solutions and digital insurance.
$90,000 - $140,000
Data
Mid-Level Software Engineer
Hybrid
501 - 1,000 Employees
3+ years of experience
Finance

Description For Data Engineer

Creditas, a leading Latin American fintech company founded in 2012, is seeking a Data Engineer to join their Product Technology team. The company has raised over $829 million in funding and is recognized by KPMG, Business Insider, and Glassdoor as one of the world's most promising fintechs. With offices in São Paulo, Valencia, and Mexico City, Creditas is transforming lives through technology in auto, real estate, and corporate benefits ecosystems.

The role involves developing and maintaining data products using modern tools and technologies, working with distributed systems, and solving large-scale engineering challenges. You'll be working with technologies like Python, Spark, Kafka, and AWS services, translating business problems into efficient data solutions.

The ideal candidate should have strong experience with Python, SQL, and data visualization tools, along with knowledge of distributed systems and cloud platforms. The position offers a hybrid work arrangement, requiring in-person attendance at the São Paulo office quarterly.

Creditas offers an impressive benefits package, including comprehensive health insurance, mental health support, parental leave, and professional development opportunities through their Corporate University. The company strongly values diversity and inclusion, actively working to create an equitable environment for all employees.

This is an excellent opportunity for a data professional who wants to make a real impact while working with cutting-edge technologies in a rapidly growing fintech company that's transforming the Latin American financial landscape.

Last updated a month ago

Responsibilities For Data Engineer

  • Develop new data products using tools from our stack according to business needs
  • Maintain and support existing products
  • Refine, understand and translate business problems into data solutions
  • Model data products according to best development practices
  • Support continuous improvement processes by identifying opportunities and suggesting solutions

Requirements For Data Engineer

Python
Kafka
  • Knowledge of high-performance distributed systems (Spark/Kafka)
  • Experience with object-oriented programming, preferably Python and JVM languages
  • Knowledge of messaging/queuing systems and/or stream processing systems
  • Experience with Python
  • Experience with SQL, Tableau, Power BI, DataStudio, Data Visualization
  • Experience with Airflow, Spark
  • Knowledge of GitHub
  • Experience with AWS S3, AWS EMR, AWS GLUE and Redshift
  • Differential: Experience with distributed databases
  • Availability to work hybrid: Must attend office in Berrini region, São Paulo, every three months for 4 consecutive days

Benefits For Data Engineer

Medical Insurance
Dental Insurance
Education Budget
Mental Health Assistance
Parental Leave
  • Group Life Insurance
  • Health Insurance (SulAmérica)
  • Dental Insurance (SulAmérica)
  • Corporate University (Academy)
  • Mental health support - Wellz: free online psychology sessions
  • Wellhub: access to gyms and sports studios
  • Birthday day off
  • Childcare assistance & Assistance for Children with Disabilities
  • Family Care: family support during maternity and paternity journey
  • Parental Leave: 6 months for pregnant person and 35 days for parental leave
  • Transportation voucher or parking agreement
  • Meal voucher: Flexible benefits card (Creditas Card)
  • WeWork: coworking spaces across Brazil
  • Pharmacy agreement
  • Payroll loans
  • Salary advance
  • Financial Education Program

Interested in this job?

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