Project description
In this project the Data Engineering team is supporting the enterprise analytical data environment called UDH. UDH is a complex data environment built on AWS services technologies.

Responsibilities
Support large scale data pipelines in a distributed and scalable environment
Enable and optimize production AWS environment for data infrastructure and frameworks
Partner with development teams and other department leaders/stakeholders to provide cutting edge technical solutions that enable business capabilities
Participate and lead in design and development of innovative batch and streaming data applications using AWS technologies
Provide the team technical direction and approach to be undertaken and guide them in resolution of queries/issues

Must have
3+ years of Experience as a DevOps Engineer with technical expertise in Build and Release Management.
Hands on experience in AWS provisioning and good knowledge of AWS Services like EC2, ECS(Mandatory), EKS(Mandatory), S3, ELB, route53, IAM, VPC, Auto scaling, CloudWatch, OpenSearch, API Gateway, Kong, Parameter store, Lambda
Experience in working on tools like Harness, Jfrog, Gitlab.
Knowledge of Cloud formation scripts for automation purpose.
Experience in working on GitHub actions.
Good Experience in Dockerizing the Applications, In Docker file, Creating Docker images and configuring the Docker Containers.
Experience in working on Fluent bit & FluentD.
Experience in building CICD pipelines with blue/green deployments
Experience in creating of Redis cluster and monitoring the metrics.
Experience in Monitoring the DynaTrace and checking the latency issues if any.
Knowledge with Akamai, CDN
Knowledge of networking architecture (NLB, Transit Gateway)

Nice to have
Airlines projects experience