Key Facts

Remote From:

Full time

Senior (5-10 years)

English

Hard Skills

BigQuery SQL (Programming Language) ETL (Extract Transform Load) Cloud Dataflow Dimensional Modeling Data Mart Cloud Database Cloud Storage gRPC Microsoft SQL Server Data Engine (MSDE) Business Transformation Cloud Dataflow Quartz Composer Data Warehouse Architectures

Georgia IT, Inc.

Information Technology & Services

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

Industry: Information Technology & Services

Founded: 2018

Company size: 51 - 200

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Job description

Sr. Data engineer
Location – Remote (USA)
Duration - Contract
US Citizens, GC visa holders preferred, NO third party corp to corp accepted for this job

Qualifications:

Required:
• 5+ years of experience in data engineering with strong SQL and ETL skills.
• Experience with SSIS and legacy SQL Server–based data marts.
• Proficiency in Google BigQuery and/or similar cloud data warehouses.
• Hands-on experience with DBT or modern transformation frameworks.
• Strong knowledge of dimensional modeling and data warehousing principles.
• Experience migrating on-prem pipelines to cloud platforms.
• Familiarity with GCP-native services such as Cloud Storage, Pub/Sub, Dataflow, Composer, and IAM.
• Strong knowledge of Healthcare Information Systems.

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