Build and maintain end-to-end data pipelines in AWS, ingesting data from multiple REST APIs.
Design reliable, observable, scalable pipelines with data quality and monitoring.
Explain and discuss the logic of solutions with stakeholders, not just tools used.

🎯 Requirements

Advanced English, comfortable explaining technical solutions in conversation.
Proven experience as a Data Engineer.
Strong Python and advanced SQL (CTEs, window).
Design and maintain AWS data pipelines (REST ingestion, data lakes/warehouses, orchestration).
AWS Serverless and data tools: Lambda, Glue, DynamoDB, S3, IAM, CloudWatch.
PySpark or Spark on EMR/Glue.

🎁 Benefits

Health and dental insurance
Meal and food allowance
Childcare assistance
Extended paternity leave
Profit Sharing and Results Participation
Continuous learning platform (CI&T University)

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