Role overview

Qualifications

Familiarity with Azure data services
Proficiency in SQL and other query languages
Knowledge of data modeling techniques for relational and NoSQL databases
Understanding of big data concepts and architectures

Responsibilities

Design data pipelines, ingestion, transformation, storage, access, security, governance, and quality using Azure tools
Familiarity with DevOps practices and tools for data platform development
Ability to communicate effectively with stakeholders
Collaborate with other roles in the data platform team

Key facts

Full time
English

Other skills

Collaboration

About the company

Georgia IT, Inc.

Georgia IT, Inc. provides IT Consulting for a wide range of IT services and custom build turn-key enterprise solutions. GIT specializes in improving business scalability and efficiency through BSM and SBA Solutions. GIT transforms business with service management and service automation solutions. We are BMC & HP partners. GIT Services include custom built enterprise software and customer-centric web portals, network design and implementation, remote and site-to-site VPN, network and server security assessment and setup, server and desktop virtualization, and many others. GIT also provides IT Consulting in many areas such as Disaster Recovery Planning, Enterprise Data Backup Strategy, Long Term Strategic IT Planning and Augmentation Professional Services Solutions. Professional Services Specialties: Business Process Integration, Software Integration & Development, Web portal, Networking, Remote and site-to-site VPN, Virtualization Solutions, Product Development Please contact us Hrus@georgiait.com / uthay@georgiait.com/470-798-5000 x 1010 / (732) 890-2535 direct

Company details

Company size51 - 200

Links

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Job description

Azure Analytics Role – 100% Remote
Location - Seattle, WA
Start date – Immediate
Rate: DOE
1 year plus

Key Responsibilities

Familiarity with Azure data services, such as Microsoft Fabric, Azure SQL Database, Azure Synapse Analytics, Azure Cosmos DB, Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Azure Stream Analytics, and Azure Purview.
Ability to design data pipelines, data ingestion, data transformation, data storage, data access, data security, data governance, and data quality using Azure tools and best practices.
Proficiency in SQL and other query languages, such as T-SQL, KQL, Spark SQL
Knowledge of data modeling techniques and patterns for relational and NoSQL databases.
Understanding of big data concepts and architectures, such as distributed computing, parallel processing, streaming analytics, and machine learning.
Familiarity with DevOps practices and tools for data platform development and deployment, such as Azure DevOps, GitHub, Azure Resource Manager, Azure CLI, PowerShell, and ARM templates.
Ability to communicate effectively with stakeholders and collaborate with other roles in the data platform team, such as data engineers, data analysts, data scientists, solution architects, platform engineers, security engineers, and business users.