Lead AWS Data Engineer
São Paulo JK, SP, BR, 04543-011
BRL 20K-31K (estimate) Senior-level Full Time
Tasks
- Build and evolve corporate data lakes using medallion architecture
- Collaborate with architects DevOps infrastructure and business stakeholders
- Define data engineering standards governance and observability
- Design develop and maintain scalable resilient data pipelines
- Design for scalability security performance and cost
- Develop Airflow DAGs for orchestrating complex pipelines
- Develop and optimize ETL ELT processes with Python and PySpark
- Ensure compliance with regulatory audit and corporate governance
- Ensure data security using IAM KMS encryption and access control
- Implement data solutions with AWS Glue Amazon S3 MWAA Step Functions CloudWatch
- Implement infrastructure as code with Terraform
- Lead data engineering initiatives in AWS
- Migrate data platforms from on premises to AWS
- Perform troubleshooting root cause analysis and production support
- Provide technical mentorship and code reviews
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Glue | AWS KMS | AWS Step Functions | Amazon CloudWatch | Amazon S3 | Apache Airflow | Apache Iceberg | CI/CD | Cloud Security | Data Engineering | Data Governance | Data Lake | Data integration | Data pipeline | ELT | ETL | IAM | Infrastructure as Code | MWAA | Medallion Architecture | Observability | Oracle | Oracle Data | Oracle Data Integration | PySpark | Python | Relational databases | Step Functions | Terraform | “as-code”
Education
Roles
AWS Data Engineer | Data Engineer | Engineer | Lead | Lead AWS Data Engineer
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