
Senior Data Engineer, Apache Airflow – MWAA
Compass
full-time
Posted on:
Location Type: Remote
Location: Brazil
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Job Level
About the role
- Provide technical leadership (hands-on) for delivering the functional pipeline for three priority workloads;
- Ensure alignment with the MDIC/Proserv reference architecture and with dependencies between services;
- Design and implement data modeling in the final layer (BI Serving Layer / Gold) using a dimensional approach for consumption in Redshift;
- Define and implement standards for quality, traceability, and governance, including versioning via metadata in Glue Data Catalog and access policies via Lake Formation (row/column-level, where applicable);
- Deliver with disciplined execution (short PoC) and strong troubleshooting ability in AWS environments.
Requirements
- Solid experience with AWS Data & Analytics;
- Hands-on experience with Amazon S3 and Lakehouse architecture;
- Experience with Apache Iceberg (schema evolution, versioning);
- Pipeline orchestration with MWAA / Apache Airflow;
- Development of transformations with AWS Glue (Spark);
- Experience with Terraform (IaC);
- Use of AWS Glue Data Catalog;
- Data governance with AWS Lake Formation;
- Analytical consumption via Amazon Athena and/or Amazon Redshift;
- Dimensional data modeling (Star Schema);
- Ability to work autonomously in AWS environments;
- Desired: Snowflake, Data Model Management / Data Modeling.
Benefits
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Applicant Tracking System Keywords
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Hard Skills & Tools
AWS Data & AnalyticsAmazon S3Lakehouse architectureApache IcebergMWAAApache AirflowAWS GlueTerraformAWS Glue Data CatalogAmazon Athena
Soft Skills
technical leadershiptroubleshootingautonomydisciplined execution