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Data Engineer – Airflow, AWS
Stefanini Brasil. Build, maintain, and enhance data pipelines using Apache Airflow (MWAA) .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining data pipelines using Apache Airflow, Python, and AWS services, while ensuring data quality and governance in Data Lake, Lakehouse, and Data Warehouse environments.
Highest-signal resume keywords
Apache Airflow (MWAA)Python DevelopmentSQL ServerApache SparkAWS Services
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline OrchestrationETL/ELT ProcessesData ModelingData GovernanceData QualityData ObservabilityPerformance OptimizationData IngestionData TransformationData Delivery
Soft Skills
CollaborationContinuous Improvement
Tools & Technologies
AWS RedshiftAWS S3AWS GlueData LakeData WarehouseLakehouseMedallion Architecture
Tech Stack
Tools & technologiesAirflowAmazon RedshiftApacheAWSETLPythonSparkSQL
About the role
Key responsibilities & impact- Build, maintain, and enhance data pipelines using Apache Airflow (MWAA)
- Build data ingestion, transformation, and delivery processes (ETL/ELT)
- Develop solutions using Python, Spark, and AWS services
- Implement and support data architectures in Data Lake, Lakehouse, and Data Warehouse environments
- Perform data modeling to meet analytical and business needs
- Ensure the quality, governance, and observability of processed data
- Monitor and optimize the performance of pipelines and data processes
- Collaborate with business, analytics, and technology teams to evolve the data platform
- Support the definition of best practices, standards, and continuous improvements across the data ecosystem
Requirements
What you’ll need- Strong experience with Apache Airflow (MWAA) for data pipeline orchestration
- Python development for building and maintaining ETL/ELT processes
- Advanced knowledge of SQL Server
- Experience with Apache Spark for processing large volumes of data
- Hands-on experience with AWS services, especially Redshift, S3, Glue, and MWAA
- Knowledge of data modeling for analytical environments
- Experience with Data Warehouses, Data Lakes, and Lakehouses
- Knowledge of Medallion Architecture (Bronze, Silver, and Gold)
- Experience with data governance, quality, and observability
- Experience developing, optimizing, and monitoring data pipelines
Benefits
Comp & perks- Meal or food allowance
- Discounts on courses, universities, and language institutions
- Stefanini Academy — a platform offering free, up-to-date online courses with certificates
- Mentoring
- Benefits club offering discounts on consultations and medical tests
- Health insurance
- Dental insurance
- Benefits and discounts at leading establishments
- Travel club
- Pet care benefits
- 100% remote work