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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
[email protected]
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Thu Oct 05 22:00:00 UTC 2023

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