Looking for : Lead Azure Data Architect : Remote at Remote, Remote, USA |
Email: [email protected] |
From: Prakash Singh, RCI [email protected] Reply to: [email protected] Title: Lead Azure Data Architect Duration: 6 Months Location: 100% Remote PST Time zone Visa: Any Key Skills: ADF, ADLS, Synapse (Azure Sql Datawarehouse), T-SQL Looking for a Lead level person 10 + Years Should have strong experience in T-SQL Look for someone who started their career as a BI/SQL/ETL Developer and moved in to Azure Data Engineering Resume should not have anything related BigData (Hadoop) or AWS cloud. Description: 1. Enterprise Data modelling / Design 2. Azure SQL Data Warehouse (Synapse) 3. T-SQL ( Hands-on experience, writing queries, building stored procs, performance optimization, etc..) 4. ADF / Any Enterprise ETL Tool 5. ADLS / any cloud storage 6. Should be able to understand the technical specifications and able to work independently with minimal or no supervision Must 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 modelling Solid knowledge of data warehouse best practices, development standards and methodologies Strong experience with Azure Cloud on data integration with Databricks Be an independent self-learner with the lets 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 knowledge Intermediate knowledge on Power BI Good to have knowledge in DevOps and CI/CD deployments, Cloud migration methodologies and processes. Keywords: continuous integration continuous deployment artificial intelligence machine learning business intelligence database |
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Thu Oct 05 22:00:00 UTC 2023 |