Azure Technical Consultant - India
10 hours ago
Job description
Role:
Azure Technical Consultant
Experience: 10+years
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, role-based 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 as-built 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 hands-on experience in Azure and Databricks. We require strong candidates with specific expertise in Databricks and Azure for this role.
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