Asset&Wealth Management-Senior Cloud Data Engineer-Vice President-Dallas
Dallas, Texas, United States
USD 130K-250K (estimate) Senior-level Full Time
Tasks
- Automate deployments with GitHub Actions
- Automate deployments with GitLab CI
- Build Docker images
- Build automation tools for data validation and schema conversion
- Build data processing with Amazon EMR
- Communicate technical concepts to non-technical stakeholders
- Configure Amazon CloudWatch Container Insights
- Configure ECS auto scaling policies
- Configure ECS task definitions
- Deploy services to Amazon ECS
- Implement IAM least privilege
- Implement OpenTelemetry instrumentation
- Implement data pipelines with AWS Glue and Pyspark
- Implement lakehouse patterns with Apache Iceberg
- Implement service to service communication with ECS Service Connect
- Ingest and transform data in Snowflake
- Lead peer code reviews
- Mentor junior engineers
- Migrate legacy ETL and microservices to AWS
- Provision AWS infrastructure with AWS CDK
- Provision AWS infrastructure with Terraform
- Refactor monolithic code into containerized services
- Tune Snowflake warehouse sizing
- Tune Spark job configurations
- Use AI coding assistants to refactor SQL and generate unit tests
Perks/Benefits
- N/A
Skills/Tech-stack
ALB | ALB/NLB | AWS | AWS CDK | AWS Cloud | AWS Cloud Map | AWS Glue | Amazon CloudWatch | Amazon CloudWatch Container Insights | Amazon ECS | Amazon EMR | Amazon Fargate | Apache Airflow | Apache Iceberg | Apache Spark | Auto Scaling | Cloud Map | Container Insights | DBT | Dagster | Data Lakehouse | Docker | ECS Auto Scaling | ECS Service Connect | ECS Task Definitions | GitHub Actions | GitLab CI | IAM | Java | Kafka | NLB | OpenTelemetry | PySpark | Python | RDS | SQL | Service Connect | Snowflake | Terraform | VPC
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