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

• Create and develop scalable backend microservices utilizing Java, Spring Boot, and Gradle.

• Architect and uphold robust ETL/ELT pipelines with Python and dbt to guarantee seamless data flow.

• Craft high-quality RESTful APIs that link advanced frontend experiences to intricate backend data systems.

• Enhance and manage data storage across SQL and NoSQL platforms, employing technologies such as Snowflake or Redshift.

• Leverage Airflow to oversee and schedule complex data workflows and their interdependencies.

• Advance backend services to incorporate AI-driven features.

• Debug distributed systems, lead code review sessions, and engage in architectural brainstorming discussions.

• 5–7 years of professional experience in Python (for data engineering) and Java/Spring Boot (for service layers).

• Over 5 years of experience in constructing production-grade pipelines using ETL tools (specifically dbt) and Airflow.

• At least 3 years of practical experience with Snowflake, Redshift, Spark, or Kafka.

• Extensive background in navigating and optimizing both SQL and NoSQL environments.

• Strong understanding of REST API design, Gradle, and microservices architecture within a distributed setting.

• Education: Bachelor’s or Master’s degree in a technical discipline (Computer Science, Math, Statistics, or equivalent).

• Demonstrated experience working in Agile teams in fully remote settings.

• Exceptional verbal and written communication skills for daily technical collaboration.

• Fully remote for candidates located in LATAM.

• Agile working environment.

Data Engineer, Python

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