Data Engineer

• Design & Development: Develop and optimize scalable, reliable, and secure data pipelines and platforms using Azure Data Services.
• Data Integration: Integrate data from various sources, ensuring high data quality and availability for analysis.
• Collaboration: Work closely with cross-functional teams, including Data Scientists, Analysts, and DevOps, to understand data requirements and deliver solutions.
• Automation: Leverage Python 3.x to automate data workflows and ensure efficient handling of large datasets.
• Version Control: Use Git/GitHub for version control, collaboration, and deployment of data solutions.
• AWS Exposure: Apply knowledge of AWS services for hybrid cloud environments and data migrations when needed.
• Performance Monitoring: Monitor, troubleshoot, and optimize data systems for performance and reliability

• Proficiency in Python 3.x for data engineering tasks and automation.
• Hands-on experience with Azure Data Services, such as Azure Data Factory, Azure Databricks, and Azure SQL.
• Familiarity with AWS services like S3, Lambda, or Redshift is a plus.

Skills: AWS Lambda, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Automation, Cross-Functional, Data Analysis, Data Management, Data Migration, Data Quality, Data Science, Data Sets, DevOps, Git, GitHub, Hybrid Cloud, Identify Issues, Information/Data Security (InfoSec), Microsoft Windows Azure, Performance Analysis, Performance Tuning/Optimization, Python Programming/Scripting Language, SQL (Structured Query Language), Scalable System Development, Software Engineering, Source Code/Configuration Management (SCM)

Georgia Tek Systems