Lead AWS Data Platform Engineer
•Today
| Estimated Pay info | Based on similar jobs in your market$68 per hour |
|---|---|
| Hours | Full-time |
| Location | Boston, Massachusetts |
About this job
Job Description
Job Description
Position: Lead AWS Data Platform Engineer
Location: Boston, MA (100% Onsite) – Local Candidates Highly Preferred.
Description:
- The Data Platform Engineering team supports CI/CD and infrastructure for our integrated Data Fabric platform. This Data Fabric is a strategic core asset underpinning the operational success of our Firm.
- The Data Platform Engineer will design and implement efficient procedures and pipelines for software development and infrastructure deployment, manage and deploy various key data systems and services.
- The Data Platform Engineer will work with cloud engineers, data engineers, system administrators, data administrators and architects to find opportunities to leverage DevOps technologies to process large volumes of data.
- The Data Platform Engineer will implement CI/CD workflows for Infrastructure as Code (IaC) and automated deployments. This role requires a motivated individual with strong technical ability, data capability, excellent communication, and collaboration skills including the ability to develop and troubleshoot a diverse range of problems.
Responsibilities
- Implement continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline) for data infrastructure using Terraform and GitHub Actions.
- Implement and deploy GitHub Actions tools and workflows.
- Implement various development, testing, automation, and data infrastructure tools
QUALIFICATIONS
- Bachelor’s degree in computer science or engineering
- Minimum of 10 years of experience in DevOps engineering
- Git version control
- Minimum of 5 years of experience with GitHub Actions
- Minimum of 5 years of experience with Terraform
- Minimum of 5 years of AWS Cloud experience that includes: Lambda, EC2, and VPC
- Experience with big data platforms such as Amazon Redshift, Snowflake, Apache Iceberg, Apache Spark, AWS Glue, RDS
- Experience with containers: Docker, Amazon ECS, and/or Kubernetes
- Experience with data engineering, data analysis, and/or ETL
- Experience with programming languages such as Python
- Experience with OS-level scripting languages such as Bash and PowerShell
- Experience with use of advanced features of AI tools: ChatGPT, custom GPTs, and/or other models such as Claude Sonnet.
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