Azure Data Engineer | Locals Only | W2 Only |
About The Position
Key Responsibilities: Design and implement data pipelines using Azure data services Develop, optimize, and maintain ETL/ELT processes Work with large datasets to ensure data quality, integrity, and performance Integrate data from multiple sources into Azure data platforms Collaborate with data scientists, analysts, and stakeholders to support data needs Monitor, troubleshoot, and optimize data workflows Ensure data security, governance, and compliance standards are met Automate data workflows using scripting and orchestration tools Required Skills: Strong experience with Azure Data Factory (ADF) Hands-on experience with Azure Data Lake and Azure Synapse Analytics Proficiency in SQL and data modeling Experience with Python or PySpark Knowledge of ETL/ELT processes and data warehousing concepts Experience with Azure Databricks Familiarity with REST APIs and data integration techniques Understanding of CI/CD pipelines and DevOps practices HR Xlysi LLC, Expert Portal Solutions 251 Milwaukee Ave, Buffalo grove, IL 60089 Web : http://www.xlysi.com E-mail: [email protected] Our training portal registration: http://xlysi.catsone.com/careers/index.php?m=portal&a=apply&jobOrderID=345179&portalID=2106
Requirements
- Strong experience with Azure Data Factory (ADF)
- Hands-on experience with Azure Data Lake and Azure Synapse Analytics
- Proficiency in SQL and data modeling
- Experience with Python or PySpark
- Knowledge of ETL/ELT processes and data warehousing concepts
- Experience with Azure Databricks
- Familiarity with REST APIs and data integration techniques
- Understanding of CI/CD pipelines and DevOps practices
Responsibilities
- Design and implement data pipelines using Azure data services
- Develop, optimize, and maintain ETL/ELT processes
- Work with large datasets to ensure data quality, integrity, and performance
- Integrate data from multiple sources into Azure data platforms
- Collaborate with data scientists, analysts, and stakeholders to support data needs
- Monitor, troubleshoot, and optimize data workflows
- Ensure data security, governance, and compliance standards are met
- Automate data workflows using scripting and orchestration tools
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1-10 employees
