Data Engineer Lead
Keylent Inc
Data Engineer Lead
Location: Charlotte, NC, US
Minimum ten (10) years technical experience in each of the following:
- Design proof of technology using AWS platform and services for various client requirements and demonstrate them
- Take part in software and architectural development activities
- Enjoy a healthy technical debate but know how to collaboratively solve problems that move everyone forward
- Mentor team member during design, development, testing & production fix
- Develop MVP user stories (re-usable components/APIs/UI/mock stubs etc.)
- Support backlog creation, prioritization, and story mapping
- Support in technical design and solutioning
- Ability to work across tiers – UI development, APIs, databases (basic developer level tasks)
- Ability to utilize DevOps CI/CD pipeline, create/configure build and deploy jobs
- Responsible for assigned task delivery and quality and knowledge transfer through daily pairing with Duke team members
- Works well within tight deadlines (able to prioritize)
Required skills/qualifications:
- Key technology skill set – AWS Services (AWS platform and services knowledge including AWS Lambda, API Gateway) + Data Skills -Glue, Informatica/Kafka/AWS Data flow Data Engineer with Informatica knowledge)
- Advantage having additional technology skill set – Kafka, Spark, MongoDB/DynamoDB/Aurora
- 3+ years of experience in cloud development (preferably 5-7 yrs but may not have all been in AWS)
- Python and Terraform skills – additional advantages
- Motivated and energetic engineers who are passionate about software modernization
- Must be able to clearly communicate with team members and leadership
What are your top 3 must haves for this role?
- AWS (lambda) + Data skills (Glue)
- Informatica
- AWS Data flow
Required skills: AWS (lambda) + KAFKA with Java or Flink java APIs
Nice to have: ECS/EKS, and at least Solution Architect Associate, Developer, or Data Specialty certification.
Vacancy posted 1 day ago
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