AWS Data Engineer
AWS Data Engineer
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Job Description
We developed a custom internal application leveraging AWS for a very large organization. We work with other vendors to constantly improve and enhance features. The software engineer that gets hired will work with the existing team members who have been on the project for years. Please see responsibility and qualifications for more details.
The person we hire can be a projectbased employee or fulltime employee but mostly we hire resources as fulltime employees to do consulting work. i.e. We are not a staffing company. The client and work are in Bellevue WA.
The software engineer is responsible for supporting the current IT projects underway by developing new features improving existing ones sometimes in quick iterations until we build what works best for our customers. You will ensure that our existing services are maintained and that we continue to move toward scalable solution. You must enjoy working on complex software systems in a customercentric environment and be passionate not only about building good software but also ensuring that same software achieves its goals in operational reality.
Responsibilities
- Collaborate with internal teams to develop cloud capabilities that align with tech business requirements
- Build resilient scalable and robust clouds solutions that meet technical and security needs for applications
- Installation configuration administration and automation of data infrastructure in AWS Cloud
- Interface with development and operations teams for database requirements
- Support multiple system environments for development testing and production application releases
- Identify and implement process and infrastructure improvements in various database aspects
- Collaborate with a talented team to improve our current website ensuring seamless integration with both new and existing systems.
- Contribute to the backend as needed ensuring integration with cloudbased services and maintaining system reliability.
- Work with cloud services particularly AWS utilizing CDK for infrastructure as code.
- Implement and manage CI/CD pipelines and ensure robust deployment practices.
- Create/update Data.net jobs to extract other teams data and load it to our Redshift cluster to process loaded data for QuickSight Dashboards
- Create/update glue jobs to pull data via APIs from various data sources like BIM360 Tokenflex Asana Workato Workdocs and store/process the data in the Redshift cluster for QuickSight Dashboards
- Pipeline/CDK Infrastructure/code deployment for the AWS services.
- Migration and refactoring existing Pipeline/CDK/Code packages
- Migrate Glue Jobs to ECS AirFlow or other AWS services
- Utilize GenAI/Machine Learning/Amazon Bedrock to provide AI services for data we have in Redshift
Minimum Qualifications
- Bachelors degree in IT related field such as Information Technology Computer Science Information Systems or a related field or equivalent experience
- Good understanding of agile scrum from experience
- Ability to work independently and collaboratively in a fastpaced environment
- Strong problemsolving skills and attention to detail
- A consultants mindset adaptable and eager to acquire new skills
- Strong communication skills and the ability to work crossfunctionally to align stakeholders on the goals and deliverables
- Strong working knowledge of AWS Cloud Development (experience with ECS RDS Lambda SQS and SNS is a plus)
Desired Qualifications
- Experience in data mining ETL etc. and using databases in a business environment with largescale complex datasets
- Experience in Statistical Analysis packages such as R SAS and Matlab
- AWS Certification: AWS Certified Solutions Architect or AWS Certified Data Analytics Specialty.
- Experience with BI tools like Tableau or Quicksight.
- Expertise in data visualization principles and best practices.
Employment Type
Full Time
