Key Facts

Remote From:

Anywhere

Full time

English

Hard Skills

Other Skills

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Teamwork
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Communication

Georgia IT, Inc.

About 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

Founded: 2018

Company size: 51 - 200

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Job description

Data Platform Engineer
Location: Seattle, WA or Remote
Duration: 10-12 months
Rate: DOE

Visa: USC,GC,GC-EAD,H4 EAD, TN visa

Core skills needed:

Data Platform Engineer with Databricks and Unity Catalog.
Experience – 9+ years
Design and implement data architecture leveraging technologies such as Azure Databricks.
Set up Unity Catalog,- Should have specific experience setting up Unity Catalog
Good to have Privacera, and Collibra.
Develop, optimize, and manage data pipelines for ETL processes using azure Databricks, with a focus on data integrity and quality.
Design and maintain data models and schemas, incorporating Unity Catalog and Collibra data governance practices.
Ensure data security and compliance with regulations using Databricks.
Establish a robust data governance strategy, defining standards, metadata management, lineage, and quality practices.
Operationalize Machine Learning models in Batch and Real Time Data Pipelines, leveraging relevant governance setups.
Collaborate with cross-functional teams including data scientists, engineers, and analysts to translate business requirements into scalable solutions.