Asset&Wealth Management-Senior Cloud Data Engineer-Vice President-Dallas
Dallas, TX, United States
USD 140K-199K (estimate) Senior-level Full Time
Tasks
- Automate data validation and schema conversion using Python or Go
- Build and maintain Docker images and ECS task definitions
- Configure ECS service communication using service connect
- Deploy infrastructure using GitHub Actions or GitLab CI
- Develop end to end data pipelines using AWS Glue PySpark and EMR
- Implement lakehouse patterns using Apache Iceberg
- Implement observability using CloudWatch Container Insights and OpenTelemetry
- Lead peer code reviews and enforce security standards with IAM least privilege
- Migrate legacy ETL and microservices to AWS
- Optimize Spark job configurations and Snowflake performance
- Provision infrastructure with Terraform or AWS CDK
- Refactor monolithic code into containerized services
- Tune ECS auto scaling policies
- Use AI coding assistants to refactor SQL and generate unit tests
Perks/Benefits
- N/A
Skills/Tech-stack
ALB | AWS | AWS CDK | AWS Cloud | AWS Cloud Map | AWS Glue | AWS IAM | AWS Lake | AWS Lake Formation | Amazon CloudWatch | Amazon CloudWatch Container Insights | Amazon ECS | Amazon ECS EC2 | Amazon ECS Fargate | Amazon ECS Service Connect | Amazon EMR | Amazon RDS | Amazon S3 | Apache Airflow | Apache Iceberg | Apache Kafka | Apache Spark | Cloud Map | Container Insights | DBT | Dagster | Docker | ECS Fargate | ECS Service Connect | ECS/EC2) | GitHub Actions | GitLab CI | Java | Lake Formation | NLB | OpenTelemetry | PySpark | Python | SQL | Service Connect | Snowflake | Terraform | VPC
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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