Lead Azure Data Engineer
Title:
Lead Azure Data EngineerClient:
KPI/ LAM ResearchVisa:
Any Visa worksThis is a Hybrid role 2 days onsite in a week.
(San Francisco Bay Area, Dallas TX, Portland OR) Looking for a Lead level person - Minimum 12
YearsLooking for someone who Azure Data Engineering Should be strong in T-sql Resume should not have anything related bigdata or Hadoop tech side or AWS cloud and consultant should be purely focused on Azure cloudLocation:
San Francisco Bay Area, Dallas, TX, Portland, ORKey Skills:
ADF, ADLS, Synapse (Azure Sql Datawarehouse), T-SqlDescription1.
Enterprise Data modelling / Design2.
Azure SQL Data Warehouse (Synapse)3.
T-SQL ( Hands-on experience, writing queries, building stored procs, performance optimization, etc.
.
)4.
ADF / Any Enterprise ETL Tool5.
ADLS / any cloud storage 6.
Should be able to understand the technical specifications and able to work independently with minimal or no supervisionMust have Skills :
Extensive experience providing practical direction within azure native services , implementing data migration and data processing using Azure services:
ADLS, Azure Data Factory, Synapse/DW /Azure SQL DB, Fabric.
Proven experience with SQL, namely schema design and dimensional data modellingSolid knowledge of data warehouse best practices, development standards and methodologiesStrong experience with Azure Cloud on data integration with DatabricksBe an independent self-learner with the let's get this done approach and ability to work in Fast paced and Dynamic environment Nice-to-Have Skills:
Basic understanding on ML Studio, AI/ML, MLOps etc.
Good to have Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Cosmo Db knowledge.
Good to have SAP Hana knowledgeIntermediate knowledge on Power BIGood to have knowledge in DevOps and CI/CD deployments, Cloud migration methodologies and processes.
Recommended Skills Apache Hadoop Artificial Intelligence Cloud Storage Continuous Integration Data Integration Data Migration Estimated Salary: $20 to $28 per hour based on qualifications.
Lead Azure Data EngineerClient:
KPI/ LAM ResearchVisa:
Any Visa worksThis is a Hybrid role 2 days onsite in a week.
(San Francisco Bay Area, Dallas TX, Portland OR) Looking for a Lead level person - Minimum 12
YearsLooking for someone who Azure Data Engineering Should be strong in T-sql Resume should not have anything related bigdata or Hadoop tech side or AWS cloud and consultant should be purely focused on Azure cloudLocation:
San Francisco Bay Area, Dallas, TX, Portland, ORKey Skills:
ADF, ADLS, Synapse (Azure Sql Datawarehouse), T-SqlDescription1.
Enterprise Data modelling / Design2.
Azure SQL Data Warehouse (Synapse)3.
T-SQL ( Hands-on experience, writing queries, building stored procs, performance optimization, etc.
.
)4.
ADF / Any Enterprise ETL Tool5.
ADLS / any cloud storage 6.
Should be able to understand the technical specifications and able to work independently with minimal or no supervisionMust have Skills :
Extensive experience providing practical direction within azure native services , implementing data migration and data processing using Azure services:
ADLS, Azure Data Factory, Synapse/DW /Azure SQL DB, Fabric.
Proven experience with SQL, namely schema design and dimensional data modellingSolid knowledge of data warehouse best practices, development standards and methodologiesStrong experience with Azure Cloud on data integration with DatabricksBe an independent self-learner with the let's get this done approach and ability to work in Fast paced and Dynamic environment Nice-to-Have Skills:
Basic understanding on ML Studio, AI/ML, MLOps etc.
Good to have Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Cosmo Db knowledge.
Good to have SAP Hana knowledgeIntermediate knowledge on Power BIGood to have knowledge in DevOps and CI/CD deployments, Cloud migration methodologies and processes.
Recommended Skills Apache Hadoop Artificial Intelligence Cloud Storage Continuous Integration Data Integration Data Migration Estimated Salary: $20 to $28 per hour based on qualifications.
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