AWS DATA ENGINEER
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AWS Data Engineer
Location: PLANO, TX
Pay: $65/hr to $70/hr (DOE)
Schedule: Onsite / Hybrid
Hours: 40hrs/wk
Duration: 4 Months
Responsibilities:
Qualifications:
Location: PLANO, TX
Pay: $65/hr to $70/hr (DOE)
Schedule: Onsite / Hybrid
Hours: 40hrs/wk
Duration: 4 Months
Responsibilities:
- Design, implement, and manage cloud infrastructure and platform services across AWS, Datameer, Tableau, MicroStrategy, Snowflake, Airflow etc.
- Build and maintain CI/CD pipelines for data and analytics applications, ensuring reliable and automated deployments.
- Manage infrastructure as code (IaC) using tools such as Terraform or CloudFormation.
- Ensure platform reliability through monitoring, alerting, logging, and incident response practices.
- Optimize performance, scalability, and cost across cloud environments and analytics platforms.
- Implement security best practices, including identity management, data protection, and compliance controls.
- Collaborate with data engineering, analytics and cross-functional teams to enable efficient data workflows and platform usage.
- Automate operational processes to improve efficiency and reduce manual intervention.
- Support environment provisioning, configuration management, and release management processes.
- Contribute to platform governance, including access controls, auditability, and operational standards.
- Provide technical leadership, set platform standards, and mentor engineers contributing to the analytics platform.
- Participate in on-call rotations and lead incident response for platform-related outages.
Qualifications:
- Bachelor's degree in computer science, engineering, or related field with 5+ years of platform or platform engineering experience.
- Strong experience with Snowflake, MicroStrategy and Tableau platform administrative management & support.
- Strong experience with AWS services such as EC2, S3, Lambda, RDS, CloudWatch, IAM, and VPC.
- Hands-on experience with CI/CD tools such as GitLab CI, Jenkins, or similar.
- Experience with infrastructure as code (Terraform, CloudFormation).
- Experience managing and supporting analytics platforms such as Airflow, Datameer and Tableau.
- Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.
- Experience with scripting languages such as PySpark, Python, Bash, or similar.
- Familiarity with monitoring and observability tools (CloudWatch, Prometheus, Grafana, etc.).
- Understanding of networking, security, and cloud architecture principles.
- Strong troubleshooting and problem-solving skills.
- Excellent communication skills with the ability to work cross-functionally.
- Experience with data platform ecosystems and integration with AWS services
- Familiarity with data pipeline orchestration tools such as Apache Airflow.
- Experience implementing Platform practices for BI and analytics tools, especially MicroStrategy and Tableau.
- Experience with data warehouses like Snowflake or Redshift.
- Knowledge of Datameer platform administration, optimization, and troubleshooting
- Experience with secrets management tools (AWS Secrets Manager, HashiCorp Vault).
- Experience implementing security and compliance frameworks in cloud environments.
- Familiarity with cost optimization strategies for cloud infrastructure.
- Experience working in retail, e-commerce, or consumer-facing environments.
- Exposure to AI/ML platform deployment and MLOps practices
Skills
- AI
- Airflow
- Analytics
- AWS
- Bash
- CI/CD
- Cloud
- CloudFormation
- CloudWatch
- Containerization
- Data Engineering
- Data Pipelines
- Docker
- EC2
- E-commerce
- GitLab
- Grafana
- IAM
- Infrastructure as Code
- Jenkins
- Kubernetes
- Lambda
- Machine Learning
- MLOps
- Networking
- Observability
- Prometheus
- PySpark
- Python
- RDS
- Redshift
- S3
- Secrets Management
- Snowflake
- Tableau
- Terraform
- Vault
- VPC