Job Title: AWS Engineer
Location: Columbus, OH (Hybrid)
Contract Length: 3 Months (Contract to Hire)
JOB DESCRIPTION
We are seeking an experienced Platform Engineer who will be part of the Platform team managing the Data Science platform.
Key Responsibilities:
1. Support ongoing Data Science Infrastructure operations.
2. Develop and deploy AWS environments using CI/CD processes for a rapidly growing team of Data Scientists.
3. Manage and support large-scale environments to meet the needs of current and future Data Science teams.
4. Champion and mature the environment by implementing and overseeing the image management lifecycle process.
5. Assist in setting up and managing AWS accounts specifically for the Data Science platform.
6. Provide hands-on development using CI/CD tools such as Azure DevOps.
7. Utilize Infrastructure as Code (IaC) tools such as Terraform for environment setup and management.
8. Develop scripts and applications using programming languages such as Python.
9. Manage database technologies including Athena, Oracle, MySQL, and Postgres.
10. Leverage AWS services essential for Data Lake, Data Science, AI/ML teams.
11. Handle and resolve requests from development and business users, addressing any roadblocks.
12. Manage secured infrastructure, enforce security measures, and apply necessary guard rails.
13. Resolve infrastructure vulnerabilities within SLAs and maintain audit logs.
14. Perform system upgrades and patching, providing on-call support as needed.
15. Conduct root cause analysis and knowledge transfer sessions with the internal team.
16. Collaborate with Network, Database, Infrastructure, and Architecture teams to align on projects and strategies.
Basic Qualifications:
1. Bachelor’s degree in computer science or a related field.
2. 5+ years of relevant work experience in Data Science Infrastructure.
3. Extensive experience with Data Lake, Data Science, and AI/ML services hosted on AWS infrastructure.
4. Deep working knowledge of the following technologies:
– AWS services such as SageMaker, Glue, Lambda, Athena
– CI/CD tools like Azure DevOps
– IaC tools like Terraform
– Docker and ECR (Elastic Container Registry)
– Security tools like AQUA and Kenna
5. Proficiency in communication and technical write-ups.
Preferred Qualifications:
1. AWS and Terraform certified professionals.
2. Familiarity with technical service management and product life cycle maintenance.
3. Knowledge of programming and scripting languages such as Python and shell scripting.
4. In-depth knowledge of database technologies like Athena, Oracle, MySQL.
5. Extensive experience with CI/CD and IaC tools such as Azure DevOps and Terraform.
Required Skills : . Good hands on Experience Deploying & handling below AWS Services
1. Sagemaker
2. Glue
3. Lambdas
4. Docker
5. ECR
6. Lakeformation
7. Kubernetes
2. Extensive hands-on experience with IAAC tools Most preferable Terraform
3. Hands on experience On CICD tools most preferable Azure Devops
4. Hands-on experience handling Security Vulnerabilities.
5. Good Knowledge on AWS architecture and Network components.
6. Good communication/collaboration & write up skills.
Basic Qualification :
Additional Skills :
Background Check : Yes
Drug Screen : Yes
Notes :
Selling points for candidate :
Project Verification Info :MSA: Blanket Approval Received
Client Letter: Will Provide”
Candidate must be your W2 Employee :Yes
Exclusive to Apex :No
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship ::No
Interview times set : :No
Type of project :
Master Job Title :
Branch Code :