This is a fully remote position, open to applicants in Brazil.

• Design, develop, and maintain scalable and resilient data pipelines.

• Work with extensive volumes of both structured and unstructured data.

• Ensure the quality, consistency, and governance of data.

• Collaborate with software engineers, analysts, and data scientists.

• Engage in technical decisions related to data architecture and tools.

• Proven experience in data engineering within distributed environments.

• Proficiency in Apache Spark/PySpark.

• Experience with Scala programming.

• Familiarity with AWS services such as Glue, S3, EMR, Athena, and Redshift.

• Understanding of data modeling, ETL/ELT processes, and data pipelines.

• Knowledge of relational databases and NoSQL systems.

• Experience in both batch and streaming data processing.

• Familiarity with Apache Kafka or Amazon MSK.

• Knowledge of legacy system modernization is a plus.

• Experience with Delta Lake, Apache Hudi, or Iceberg is advantageous.

• Familiarity with data CI/CD tools such as dbt, Airflow, and Terraform is beneficial.

• Multi-benefit card – choose how and where to use it.

• Scholarships for undergraduate, postgraduate, MBA, and language courses.

• Certification incentive programs.

• Flexible working hours.

• Competitive salaries.

• Annual performance review with a structured career plan.

• Opportunity for an international career.

• Wellhub and TotalPass.

• Private pension plan.

• Childcare assistance.

• Health insurance.

• Dental insurance.

• Life insurance.

Data Engineer, Scala

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