AWS Data Engineer
New
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- AWSPythonSQLApache AirflowETLTableau
Requirements
- Strong experience in AWS-based data engineering and ETL/ELT pipeline development.
- Advanced knowledge of SQL and experience in building and optimizing data workflows.
- Hands-on experience with orchestration tools such as Apache Airflow or MWAA.
- Solid proficiency in Python for data processing and automation tasks.
- Understanding of data modeling concepts (relational and analytical).
- Experience working in agile environments (Scrum or Kanban).
- Ability to work collaboratively in cross-functional teams with strong communication skills.
- Familiarity with data observability and monitoring tools such as CloudWatch and Airflow monitoring is a plus.
- Strong problem-solving mindset and ability to work with large-scale, distributed data systems.
Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines using AWS services such as AWS Glue and MWAA (Apache Airflow).
- Manage and evolve data cataloging and metadata processes using AWS Glue Data Catalog.
- Perform data querying, transformation, and analytics using Amazon Athena to support business insights.
- Develop and maintain dashboards and reports in Tableau for business and operational use cases.
- Ensure orchestration, scheduling, and reliability of data workflows across distributed systems.
- Collaborate with agile squads, participating in Scrum ceremonies and continuous delivery cycles.
- Support data modeling efforts to ensure structured, scalable, and efficient data architecture.
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