Data Engineer Lead

Primary Skills:

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

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
• To 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/ API’s / 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