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Sr. Cloud Engineer; Azure​/Databrick Data Engineer - Hybrid

Job in Larue, Henderson County, Texas, 75770, USA
Listing for: Saxon Global
Full Time position
Listed on 2026-06-05
Job specializations:
  • IT/Tech
    Data Engineer, Azure, Cloud Computing
Salary/Wage Range or Industry Benchmark: 75 - 80 USD Hourly USD 75.00 80.00 HOUR
Job Description & How to Apply Below
Position: Sr. Cloud Engineer (Azure/Databrick Data Engineer) - Hybrid
Location: Larue


** Please mention these details before submitting the candidate.**


Full Name:
Contact #
Email Address:
MM/DD:
Availability:
Immediately
Actively Interviewing (Y/N):
Visa Status:
Current

Location:

On-site Interviewing (Y/N, Explanation):
Linked In:

Client:
Con Edison



Job Location - NY, NY
Duration: 12+ months
Rate: $75-80/hr C2C
OPEN TO GC/USC (they must be local)
Interview: video followed by in-person


Sr. Cloud Engineer (Azure/Databrick Data Engineer) - Hybrid

JOB DESCRIPTION

1.Azure Platform

Experience:



The candidate should have hands-on experience with various Azure services including but not limited to Azure Data Factory, Databricks, Data Lake, and Power BI.

They should be able to design, build, and maintain ETL pipelines, manage data lakes, and create insightful reports and visualizations.

Experience with Azure SQL Database, Azure Synapse Analytics, Azure COSMOS DB , Azure ML, other Azure services is a plus.

SQL skill is a must to have and .NET C# skills will be a great plus.

2.Azure Data Engineer:

Design, implement, and maintain data solutions using Azure cloud services.

Develop ETL processes, optimize data pipelines, and ensure data quality and security.

Collaborate with teams to deliver scalable data architecture supporting analytics and business intelligence.

3.Security on Azure Platform:

The candidate should have a strong understanding of security protocols within the Azure platform.

This includes knowledge of identity and access management, network security, encryption methods, secure data communication, and securing serverless architectures.

4.Data Governance:

The candidate should have experience in implementing data governance strategies.

This includes setting up data governance frameworks, defining data ownership, ensuring data quality, and implementing data privacy and compliance measures.

Knowledge of data cataloging, data lineage, and metadata management is also important.

5.Certifications:

Azure certifications such as Azure Security Engineer Associate, or Azure Solutions Architect Expert are highly desirable.

Databricks Certified Data Engineer Associate is required. Databricks Machine Learning Certificate Preferable.

TECHNICAL SKILLS Must Have
Ability to intrepid, modify and write scripts and SQL queries
Azure Cloud Data Engineer
Azure Databricks
Azure Data Factory
Power BI Report Server
Py Spark
Python


Nice To Have
3+ years of experience with creating stored procedures in SQL
Google Cloud Big Query, Google Cloud Experience.
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