AWS Data Engineer – Mid/Senior

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

📋 Description

• Organize, gather, and process extensive datasets utilizing ETL tools;

• Sustain data pipelines and guarantee secure access to information;

• Develop and present metrics (dashboards) derived from collected data, ensuring quality and integrity;

• Engage in projects aimed at modernizing the data platform;

• Design dimensional models for use by business teams.

⛳️ Requirements

• Proficiency in data extraction, transformation, and loading (ETL) tools;

• Experience with Python / PySpark;

• Knowledge of AWS Cloud services: Glue, EMR, Athena, SNS, Lambda, Step Functions, S3, Lake Formation, IAM, and CloudWatch;

• Familiarity with data modeling and NoSQL databases such as MongoDB, DynamoDB, and Hadoop;

• Understanding of Lakehouse architecture with Apache Iceberg;

• Experience with query engines for large-scale data: Athena, Trino, Presto, or Spark SQL;

• Knowledge in dimensional modeling (facts and dimensions, granularity, keys, hierarchies, metrics, and KPIs);

• Experience handling structured, semi-structured, and unstructured data;

• Execution of unit tests and performance tests;

• Adherence to best practices for security, access control, and monitoring in the cloud.

🏝️ Benefits

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

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

• Certification incentive programs.

• Flexible working hours.

• Competitive salaries.

• Annual performance review with a structured career plan.

• Possibility of international career opportunities.

• Wellhub and TotalPass.

• Private pension plan.

• Childcare allowance.

• Health insurance.

• Dental insurance.

• Life insurance.