Role: Azure Technical Consultant
Experience: 10years
Location: Pan India
Work Mode: Remote
Required SKills:
Provide mutually agreed upon Architecture for Data Lake and Data Migration.
Azure Landing Zone Review/Hardening.
Provide Automated Deployment of Services (ADF Synapse Databricks Log Analytics Storage Data lake in accordance with the Architecture Diagram to be finalized.
Create full refresh and incremental resilient Data Pipelines as agreed to in Architecture. ADF Azure Databricks Event Hub Kafka Synapse as required by Architecture.
Create full refresh and incremental resilient ADF/Synapse/Data Bricks/Spark pipelines as needed.
Support and provide Data Governance for Data using Purview/ERWin Intelligence ADF/Synapse Pipelines and PowerBI dashboard.
Create a Data Lake Environment with initial schema and load the data to include data domains: Clinical Data (MVP) Claims Provider Members Eligibility Regular ingestion of the data identified above
Develop 3 patterns and necessary infrastructure support for the business on how to consume data from the curated zone. These 3 patterns will include the below: PowerBI Data Science access from that exploratory Subscription APIM access for interoperability
Schedule and set up alerts and Metrics using Log Analytics Workspace.
Provide data quality and code quality pipelines for observed data set.
Design and implement Security Paradigm for the entire estate rolebased access control (RBAC) Encryption Network setup for private and or Service End Points to GEHA standards
Provide full design documentation of the new platform and future roadmaps to be shared with clients/auditors if needed for validation or awareness. This will be in the form of asbuilt documentation.
Provide templates for further development and deployment.
Conduct session to review Control Environment and summarize additional recommended controls (if required)
Conduct knowledge transfer to the GEHA team
Skills Must Have
offshore dev(s): DataBricks Spark Azure Data Factory DevOps. To meet our requirements the candidates must have handson experience in Azure and Databricks. We require strong candidates with specific expertise in Databricks and Azure for this role.
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