Minimum 6 yrs experience working on data platforms like databricks or aws lakehouse and implementing modern data platforms using automation tools and techniques.

Minimum 6 yrs experience working on big data environments with associated toolsets. Extensive experience with data pipelines.

Minimum 2 yrs experience on crossplane or similar technology.

Extensive experience with automating associated platform tasks like patching , integrating with monitoring, cluster maintenance, capacity and automated troubleshooting.

6 yrs experience working on automating dataplatform builds using IaC and config mgmt. Extensive experience on terraform and ansible.

2 yrs experience in CI/CD tools including gitlab.

4 yrs experience on concepts like cross account referencing in building datalakes using IaC tools in large environments.

6 yrs of experience using scripting like python, powershell and shell to automate data platforms. Ex – az cli or az ps1 to script creation on datalakes, eventhubs, servicebus etc

6 yrs of experience with working on datap latform concepts like data ingestion, transformation, data enrichment, data processing, analytics.

8 yrs of experience on windows, unix, databases and cloud services.

4 yrs of experience in containers and atleast one k8s platform like openshift or EKS or AKS.

2 yrs experience in automation in security hardened environments with regulatory requirements.

4 yrs of experience working in agile environments.

Excellent communication skills.