Data Engineer

Digital platform focused on improving lives in Latin America through auto, real estate, and corporate benefits ecosystems.
Data
Senior Software Engineer
Hybrid
501 - 1,000 Employees
5+ years of experience
Finance · Enterprise SaaS

Description For Data Engineer

Creditas, a leading Latin American fintech company founded in 2012, is seeking a Senior Data Engineer to join their Product Technology team. With over 2,500 employees and offices across São Paulo, Valencia, and Mexico City, Creditas has raised over $829 million in funding and is recognized as one of the world's most promising fintechs by KPMG, Business Insider, and Glassdoor.

The role involves building and maintaining the company's data infrastructure, working with cutting-edge technologies like Spark, Airflow, and AWS services. You'll be responsible for designing scalable data pipelines, implementing data solutions, and ensuring data governance compliance. The position requires expertise in Python, Java, or Scala, along with experience in big data technologies and cloud platforms.

As a Senior Data Engineer, you'll play a crucial role in scaling the business, optimizing processes, and delivering the best experience for customers. The company offers a comprehensive benefits package, including health insurance, mental health support, and flexible work arrangements. Creditas is committed to diversity and inclusion, fostering an environment where different perspectives are valued and contribute to innovative solutions.

The ideal candidate should have a strong background in data engineering, experience with large-scale data processing, and a commitment to delivering high-quality, reliable data solutions. You'll work in a collaborative environment where continuous learning and development are encouraged, with opportunities to mentor team members and contribute to the company's growing data platform.

Last updated 4 days ago

Responsibilities For Data Engineer

  • Develop and maintain data infrastructure for large-scale data processing and storage
  • Design, build and maintain scalable data pipelines using tools like Spark, AirFlow, Redash, EMR and Redshift
  • Design, build, maintain and optimize AWS solutions using Infrastructure as Code
  • Implement data solutions using cutting-edge technologies like Spark, Python and AWS services
  • Guide and train team engineers, promoting growth and continuous improvement
  • Identify and resolve team capability gaps to increase efficiency

Requirements For Data Engineer

Python
Java
Scala
Kubernetes
  • Experience in Data Engineering and BigData
  • Strong programming skills in Python, Java, Scala or similar languages
  • Hands-on experience building scalable data platforms using Spark, Hadoop, Databricks, AWS services
  • Deep knowledge of data processing and working with large-scale datasets
  • Experience with latest cloud and data platform technologies
  • Familiarity with databases and analytics technologies including Data Warehousing, Data Lakes, ETL
  • Commitment to quality and data reliability
  • Experience with containerization technologies (Docker, Kubernetes)

Benefits For Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
Education Budget
Parental Leave
  • Flexible Benefits Card (Creditas Card)
  • Life Insurance
  • Health Insurance (SulAmérica)
  • Dental Insurance (SulAmérica)
  • Corporate University (Academy)
  • Mental Health Support (Wellz)
  • Gym Access (Wellhub)
  • Birthday Day Off
  • Childcare Assistance
  • Parental Leave (6 months for gestating parent, 35 days for other parent)
  • Transportation Allowance
  • Flexible Work Model (Remote, In-person, or Hybrid)
  • Pharmacy Benefits
  • Financial Education Program

Interested in this job?

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