Cloud Data Engineer - Microsoft Fabric & Lakehouse
Omni Hotels & Resorts
Dallas (TX)
On-site
USD 90,000 - 130,000
Full time
14 days+
Get more replies from employers
Send a job-specific resume in minutes.
Start fresh or import an existing resume
Job summary
Omni Hotels & Resorts is seeking a Cloud Data Engineer based in Dallas, Texas. In this role, you will design and manage ETL/ELT data pipelines using Microsoft Fabric, ensuring high performance and data quality. You should have a bachelor's degree in a relevant field, significant experience with Azure cloud services, and skills in Python & SQL. Collaborative work with business leaders and data analysts is crucial, alongside optimizing data processes and building structured decision-making environments.
Qualifications
Preferred Five Year experience or 3 Year with Master’s.
Must have worked with Azure cloud services for at least 2 years.
Intermediate level of programming skills in Python and SQL, stored procedures.
Experience with REST APIs, GraphQL APIs and gRPC API for data integration.
Responsibilities
Design and automate scalable ETL/ELT data pipelines using Microsoft Fabric.
Collaborate with business leaders to develop scope of work.
Build data quality checks, automated testing, and monitoring.
Optimize Spark jobs and SQL queries for peak capacity performance.
Skills
Python
SQL
Azure cloud services
REST APIs
Data profiling
ETL/ELT data pipelines
Education
4 Year bachelor's degree in Computer Science, Engineering, Statistics, or related field
Tools
Microsoft Fabric
Spark
PowerShell
Linux Bash
GIT
Job description
Omni Hotels & Resorts is seeking a Cloud Data Engineer based in Dallas, Texas. In this role, you will design and manage ETL/ELT data pipelines using Microsoft Fabric, ensuring high performance and data quality. You should have a bachelor's degree in a relevant field, significant experience with Azure cloud services, and skills in Python & SQL. Collaborative work with business leaders and data analysts is crucial, alongside optimizing data processes and building structured decision-making environments.