Play a vital role as the client and team lead with hands-on involvement in project management, business interpretation and application of solutions, client communication, insights/results delivery
Execute unit tests using Junit (or other tool of choice)Build and
Own & manage CI/CD deployments
Generate/maintain release notes
Assist “resiliency” process design
Required Qualifications:
Extensive experience designing & building RESTful APIs/Microservices
AWS platform experience with exposure to AWS Lambda, AWS API gateway and Google Apigee (OKAPI)
Exposure to deploying apps in OKAPI
Experience with CI/CD tool such as Bamboo
Other Qualifications of Interest:
Work experience in AWS based ML OPS OR Devops OR Data Engineer with ML environments
5+ years of Data Engineering experience
Proficiency in Python, SQL and at least one big data language (Spark,Hadoop,Flume), comfortable in cloud platforms (AWS), git and CICD concepts.
Proficiency in AWS compatible ML Technologies – AWS - Sage maker, Tensorflow, Amazon ML Feature Store
A results-oriented mind-set with strong analytical skills and problem-solving ability
Strong interpersonal skills and ability to communicate clearly and effectively