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Sr. Data Engineer - Azure (Remote)

Posted 13 days agoViewed

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💎 Seniority level: Senior, 5+ years

📍 Location: U.S.

🔍 Industry: Information Technology

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: PythonSQLETLMachine LearningMicrosoft AzureMicrosoft SQL ServerNumpyData engineeringPandasJSONData visualization

Requirements:
  • 5+ years of professional experience in data engineering or a similar role.
  • Bachelor’s or master’s degree in computer science, mathematics, statistics, data science, engineering, or a related field.
  • Proficiency in designing and managing Azure SQL Server databases.
  • Strong understanding of data warehouse design and optimization for query efficiency.
  • Extensive experience in building data pipelines and ETL processes using modern tools and frameworks.
  • Advanced Python programming skills, particularly in data processing libraries (e.g., pandas, NumPy).
  • Familiarity with Microsoft Azure platforms and services.
  • Strong problem-solving skills and the ability to work independently or collaboratively.
  • Excellent communication skills with technical and non-technical audiences.
Responsibilities:
  • Design, develop, and optimize scalable data pipelines and ETL processes for ingesting, transforming, and storing large datasets.
  • Manage and optimize databases on Azure SQL Server, ensuring high performance and availability.
  • Collaborate with cross-functional teams to understand data needs and deliver effective solutions.
  • Develop and maintain robust Python scripts to support data transformation and processing.
  • Create interactive data visualizations using Plotly for business intelligence.
  • Monitor and troubleshoot data pipeline issues to maintain data quality and system reliability.
  • Identify performance improvements in ETL processes.
  • Enhance performance of data and queries for interactive analysis.
  • Ensure compliance with data governance, security, and privacy policies.
  • Stay updated with industry trends and contribute to strategies for project leadership.
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