ZR__JOB
Listing for:
Simple Solutions
Full Time, Remote/Work from Home
position
Listed on 2026-11-06
Job specializations:
-
IT/Tech
Job Description & How to Apply Below
Jacksonville, United States | Posted on 03/28/2024
Sr. Azure Data Engineer for our direct client for a Long Term Remote position. We need Senior Data Engineer with strong background in Azure Data Factory, Data Lakes, Lakehouse, ETL, Dev Ops, SQL and PowerBI.
It will be a Long Term Remote Project.
Required Skills and Qualifications:- 1.
Proven experience working with Microsoft Fabric, including Azure Data Factory, Azure Data Lake, and related services. - 2. Proficiency in programming languages such as Python, SQL, and Power Shell for data manipulation, automation, and scripting tasks.
- 3. Strong understanding of data warehousing concepts, data modelling techniques, and dimensional modelling principles.
- 4.
Experience with lakehouse architecture principles, including the integration of data lakes and data warehouses for unified data storage, management, and analytics. - 5.
Familiarity with platforms such as Delta Lake for transactional capabilities on data lakes, schema enforcement, and time travel features. - 6.
Experience with designing and implementing ETL/ELT processes, data integration solutions, and data pipelines in a cloud environment. - 7.
Solid knowledge of database systems, both relational (e.g., SQL Server) and No
SQL (e.g., Cosmos DB), and proficiency in writing efficient SQL queries. - 8. Familiarity with data governance practices and data quality management.
- 9. Excellent problem-solving skills with the ability to troubleshoot complex technical issues and performance bottlenecks.
- 10. Strong communication skills with the ability to effectively collaborate with cross [1] functional teams and translate business requirements into technical solutions.
- 1.
Knowledge of Dev Ops practices and tools for CI/CD, infrastructure as code (IaC), and automated deployment (e.g., Azure Dev Ops, Terraform). - 2. Familiarity with machine learning concepts and frameworks (e.g., Tensor Flow, PyTorch) for implementing predictive analytics and machine learning pipelines.
- 3. Experience with containerization technologies such as Docker and orchestration tools for deploying and managing containerized applications.
- 4.
Experience with C# or .Net - 5. Experience with Data Visualization (e.g. PowerBI)
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