Lead Cloud Consultant - Data Architecture & Engineering
TASQ Staffing Solutions
15d ago
0DevPhilippineshimalayas
Cloud-ConsultantData-ArchitectData-EngineerCloud-Data-EngineerCloud-Data-Architect-LeadLead-Data-ArchitectCloud-Data-Solutions-ArchitectData-Architect-Senior-ConsultantCloud-Data-ArchitectData-Architecture-LeadSenior
Job Description
We are currently hiring for Lead Consultant - Data Architecture & Engineering. We look forward to reviewing your application and potentially working with you.General Required Technical Skills:
Experience leading small to medium sized technical teams (this includes work allocation/distribution to team members, technical escalation and support, representing the team in Agile ceremonies and client meetings).
Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments
Implementing data architectures to support a variety of data formats and structures including structured, semi-structured and unstructured data
Experience with multiple full life-cycle data warehouse implementations
Understanding of data architectures required to support data integration processing
Experience with data modeling technologies such as ER/Studio, ER/Win or similar
Experience with Microsoft Azure Data Platform services including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL database, Logic Apps, APIs
Demonstrated ability to quickly learn, adopt and apply new technologies
Data profiling and creation of source to target mappings
Ability to provision and configure Azure data service resources
Detailed Required Skills:
Python & SQL Scripting
SQL, PySpark
General Cloud Architecture competency skillset
Capable of taking requirements and building out data pipelines
API Knowledge is required, but preference given to candidates who can create APIs
Preferred Experience/Skills/Certifications
Microsoft Fabric
Microsoft Azure Cosmos DB, Data Flows, Express Route, Azure Active Directory
Experience creating strategies to migrate customers from on-premise environments to Azure
Power BI and semantic modeling
AWS Glue & Azure Data Factory
AWS S3 & Azure Blob
AWS Athena & Azure Databricks
AWS Redshift & Azure Synapse
AWS ECS & Azure AKS
Don't miss this opportunity to take the next step in your cloud engineering career we'd love to hear from you!Originally posted on Himalayas
