Summary
Join a team that motivates and challenges you at 3Cloud, where people roll up their sleeves to take on tough problems together. We hire people who aren't afraid to experiment or fail, and are willing to give direct and candid feedback. Our technology focus is on Azure, with opportunities to grow your skills in Microsoft and Azure. We offer a competitive compensation package, salary, allowance, standard benefits, quarterly and annual performance-based cash bonus, and other remuneration.
Requirements
- 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
- Python & SQL Scripting
- SQL, PySpark
- General Cloud Architecture competency skillset - Capable of taking requirements building out data pipelines
- API Knowledge is required, but preference given to candidates who can create APIs
Responsibilities
- 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
Preferred Qualifications
- 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
Benefits
- Competitive compensation package, salary, allowance, standard benefits including quarterly and annual performance-based cash bonus and other remuneration
- Great working environment and company culture with flexible work location
