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Senior Data Engineer - Microsoft Fabric

This role is for a Senior Data Engineer focusing on Microsoft Fabric and Lake House architecture, offering a contract length of "unknown" and a pay rate of "unknown." Key skills include Jupyter Notebook, Python, and cloud platforms like Azure or AWS.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
1040
🗓️ - Date discovered
February 11, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
New York, United States
🧠 - Skills detailed
#Data Governance #Microsoft Power BI #Jupyter #Security #Data Engineering #BI (Business Intelligence) #"ETL (Extract #Transform #Load)" #Storage #Data Storage #Computer Science #AWS (Amazon Web Services) #ML (Machine Learning) #Data Pipeline #Programming #Python #Azure #Data Processing #AI (Artificial Intelligence) #Cloud #SQL (Structured Query Language) #Visualization #R #Scala #Tableau #Data Science
Role description
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Job Description:

Responsibilities:
• Design, implement, and maintain data solutions using Microsoft Fabric and Lake House architecture.
• Develop and manage data pipelines and workflows in Jupyter Notebook and Python to ensure efficient data processing and analysis.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.
• Optimize and manage data storage, retrieval, and transformation processes to support business intelligence and analytics.
• Implement best practices for data governance, security, and privacy.
• Troubleshoot and resolve data-related issues and provide ongoing support to ensure data reliability and performance.
• Stay current with industry trends and emerging technologies to continuously improve data engineering practices.

Requirements:
• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• Proven experience as a Data Engineer, with a focus on Microsoft Fabric and Lake House architecture.
• Proficiency in Jupyter Notebook and Python for data processing and analysis.
• Strong knowledge of data storage, ETL processes, and data warehousing.
• Experience with cloud platforms such as Azure or AWS.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Ability to work in a fast-paced and dynamic environment.

Preferred Qualifications:
• Experience with additional programming languages such as SQL, R, or Scala.
• Familiarity with data visualization tools such as Power BI or Tableau.
• Knowledge of machine learning and AI concepts.
• Certifications in data engineering or cloud platforms.

This role is for US Citizens or Green Card holders only!