Azure App Service Azure Cognitive Service & Data bricks
Qualifications
Extensive hands-on experience implementing Lake house architecture using Data bricks Data
Engineering platform SQL Analytics Delta Lake and Unity Catalog
Extensive hands-on experience implementing server less real-time/near real-time architecture using
Cloud native services (i.e. Azure Stack) and Spark technologies (e.g. Spark Streaming Spark ML)
Experience in data governance fields as lineage quality catalog multi-cloud experience etc.
5 years of experience in Data bricks engineering solutions on one of the Cloud platforms (Azure)
5 years of experience in Data Architecture and delivery experience on one of the Cloud platforms
(Azure)
5 years of Demonstrated experience in Microsoft Azure cloud solutions architecture related
technologies
Demonstrable experience working in transformational projects where you implemented data
platforms and/or ETL/ELT/CDC pipelines using Databricks
5 years of Demonstrated experience in Microsoft Azure cloud solutions architecture related
technologies
Experience with conceptualizing and architecting data lakes on cloud-centric platforms; should be
able to articulate the value and key components of data lakes
Excellent interpersonal verbal and written communication skills
Passionate about learning new technologies
Bachelors degree or equivalent work experience
Responsibilities
Work with clients to define their cloud data platform and implement cutting-edge data solutions to
provide valuable business insights including AI/ML
Drive analysis architecture design governance and development of data warehouse data lake and
business intelligence solutions
Research synthesize recommend and select technical approaches for solving difficult migration
development and integration problems
Conduct and support workshops design sessions and project meetings as needed playing a key role
in client relations
Utilize Lake house Fundamentals Developer Foundations Capstone Developer Essentials Capstone
etc.
Collaborate applications teams/Business users to develop new pipe lines with Cloud data migration
methodologies and processes including tools like Azure Data Factory Event Hub etc.
On-call 24x7 support & Other duties as assigned
Azure App Service Azure Cognitive Service & Data bricksQualificationsExtensive hands-on experience implementing Lake house architecture using Data bricks DataEngineering platform SQL Analytics Delta Lake and Unity Catalog Extensive hands-on experience implementing server less real-time/near real-tim...
Azure App Service Azure Cognitive Service & Data bricks
Qualifications
Extensive hands-on experience implementing Lake house architecture using Data bricks Data
Engineering platform SQL Analytics Delta Lake and Unity Catalog
Extensive hands-on experience implementing server less real-time/near real-time architecture using
Cloud native services (i.e. Azure Stack) and Spark technologies (e.g. Spark Streaming Spark ML)
Experience in data governance fields as lineage quality catalog multi-cloud experience etc.
5 years of experience in Data bricks engineering solutions on one of the Cloud platforms (Azure)
5 years of experience in Data Architecture and delivery experience on one of the Cloud platforms
(Azure)
5 years of Demonstrated experience in Microsoft Azure cloud solutions architecture related
technologies
Demonstrable experience working in transformational projects where you implemented data
platforms and/or ETL/ELT/CDC pipelines using Databricks
5 years of Demonstrated experience in Microsoft Azure cloud solutions architecture related
technologies
Experience with conceptualizing and architecting data lakes on cloud-centric platforms; should be
able to articulate the value and key components of data lakes
Excellent interpersonal verbal and written communication skills
Passionate about learning new technologies
Bachelors degree or equivalent work experience
Responsibilities
Work with clients to define their cloud data platform and implement cutting-edge data solutions to
provide valuable business insights including AI/ML
Drive analysis architecture design governance and development of data warehouse data lake and
business intelligence solutions
Research synthesize recommend and select technical approaches for solving difficult migration
development and integration problems
Conduct and support workshops design sessions and project meetings as needed playing a key role
in client relations
Utilize Lake house Fundamentals Developer Foundations Capstone Developer Essentials Capstone
etc.
Collaborate applications teams/Business users to develop new pipe lines with Cloud data migration
methodologies and processes including tools like Azure Data Factory Event Hub etc.
On-call 24x7 support & Other duties as assigned
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