
Senior Data Engineer
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Brazil.
• Design and implement applications and data pipelines utilizing Python.
• Handle extensive data volumes in a distributed setting using PySpark.
• Develop and manage data transformations with dbt.
• Coordinate pipelines through Airflow.
• Utilize GitHub for version control, including pull requests, code reviews, and CI/CD integration.
• Collaborate with AWS services such as Lambda, CloudWatch, S3, Redshift, and Aurora.
• Implement and engage with Apache Iceberg.
• Employ Data Lakehouse and Medallion Architecture design patterns.
• Perform ETL/ELT processes.
• Play a key role in constructing an innovative financial platform from scratch, free from technical debt.
• Proven experience in Python, focusing on application development and data pipelines with an emphasis on performance, maintainability, and adhering to best practices.
• Proficient in using PySpark for the distributed processing of large datasets.
• Advanced skills in SQL.
• Familiarity with dbt for creating and managing data transformations.
• Understanding of Airflow for orchestrating pipelines.
• Substantial experience with GitHub, encompassing version control, pull requests, code reviews, and CI/CD pipeline integration.
• Knowledge of AWS services, particularly Lambda, CloudWatch, S3, Redshift, and Aurora.
• Experience with Apache Iceberg.
• Acquainted with Data Lakehouse and Medallion Architecture principles.
• Experience in executing ETL/ELT processes.
• Preferred: Experience with Databricks.
• Preferred: Familiarity with Kafka, especially in developing producers and event-driven messaging systems.
• Opportunities for comprehensive professional development.
• Supportive and healthy work environments.
• Engagement in real-world, impactful projects.
• An atmosphere that encourages innovation, technical ownership, and autonomy.
• The chance to create a platform from the ground up, without any technical legacy.
• Access to top-tier tools, best practices, and innovative concepts.
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