Position Details: Data Engineer-AWS solution architect

Experience and Qualifications:

· 2+ years of hands-on experience designing and deploying  an AWS-based application (native/re-factored)

· 5+ years with a high-level programming language (Java, Node JS or Python).

· Expertise in the core AWS services, uses, automation, and architecture best practices

· Proficiency in designing, developing, and deploying cloud-based solutions using AWS

· Experience with developing and maintaining applications written for Amazon Simple Storage Service, Amazon Simple Queue Service, Amazon Simple Notification Service, Amazon Simple Workflow, API Gateway Service, AWS Elastic Beanstalk, and AWS CloudFormation

· Proficiency in Amazon Compute and Storage Instances

· Experience with S3 Server Side Encryption, IAM, and Policy, CloudTrail, CloudWatch.

· Experience on EMR and Lambda Serverless Architecture

· Experience setting up Kinsesis streams and integrating them with CDC tools (Attunity preferred)

· Experience with databases like MySQL and RDS concepts.

· Proficiency on High Available, Fault Tolerant, and DR Architecture

· Good working knowledge of MPP, and NoSQL Database like DynamoDB

· Hands on Experience in creating VPC, Security Group,NaCl, Route 53

· Experience on DevOps CI and CD using Genkin or Bamboo or Code Deploy

· AWS Developer, Solution Architect Certified a plus but not required

· Experience with Atlassian stack highly preferred

Job responsibilities:

· Design, develop and deliver scalable and automated Data Pipelines

· Familiarity with Kinesis & ability to pick up the configuration based on the design patterns

· Code and enable Data store using dynamo db & kinesis

· Schema design & creation of Objects in dynamo db based on consumption pattern

· Leverage IAM roles & policies for service authentication

· Deploy Dynamo schema & objects in Cloud

· Build transformation logic using Lamdba (python) for the target consumption

· Leverage IAM roles & policies for service authentication

· Promote Lambda code across AWS environments

· Data Quality evaluations based on the source data

· Data preparation & migration for the 1st time load onto dynamo DB