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· Support
design and implementation to improve, modernize, and transform data-driven
service delivery.
· Ensure
data assets are structured, accessible, secure, and align with Client's goals.
· Recommend
data platforms and tools to support enterprise data architecture.
· Develop
data models.
· Ensure
data access patterns are optimized.
· Maintain
necessary documentation.
· Coordinate
with necessary teams to meet security standards.
· Support
design and development of disaster recovery solutions.
· Provide
knowledge transfer.
· Strong experience
with designing, developing, and implementing data lakes and relational and
non-relational databases in Azure.
· Strong experience
with Databricks.
· Strong experience
with Oracle databases.
· Experience
developing and implementing data transformation solutions and cloud
infrastructure integrations.
· Experience
coding and testing programs and scripts to load data using Azure data load
utilities.
· Experience
with CI/CD pipelines.
· Experience
with cloud computing concepts.
· Experience
with tools such as Azure Monitor, Azure Data Factory, SQL Analytics, Query
Performance Insight, Azure Resource Manager, Pearl, and Azure CLI/PowerShell
for infrastructure management.
· Experience
in mentoring others in the needed technologies.
· Experience
developing and implementing backup and recovery strategies using tools such as
Azure Backup or Geo-replication.
· Experience
with role-based access control, encryption, and network security.
· Strong
organizational and time management skills.
· Desired
10 years’ experience in data architecture or data management.
· Knowledge
of data concepts, data modeling, schema design, and indexing strategies.
· Knowledge
of Azure SQL instances, managed instances, and elastic pools.
· Knowledge
of Data Warehouse Administration and Teradata Data Warehouse.
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