Data Engineer
1 month ago
Vandey provides outsourced instructional services to institutions of higher education and is seeking a candidate to work for Vandey to serve in a full-time role as a Data Engineer with the University of the People.
University of the People (UoPeople) is the first non-profit, tuition-free, American, accredited, 100% online university. Uopeople is a leading Edtech company dedicated to leveraging data to drive business insights and innovation. We are seeking a skilled and motivated Data Engineer to join our team and play a crucial role in our data infrastructure and analytics initiatives.
Job Description:
As a Data Engineer, you will be responsible for designing, developing, and maintaining our data infrastructure. Your primary focus will be on SQL Server and Azure data services, ensuring the efficient and secure handling of data to support our analytics and business intelligence needs.
Key Responsibilities:
- Design, develop, and maintain data pipelines and ETL processes using SQL Server and Azure Data Services.
- Optimize and troubleshoot SQL queries, stored procedures, SSIS packages, and database performance.
- Implement and manage data storage solutions, including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
- Develop and maintain data integration processes, ensuring data quality and consistency across multiple sources.
- Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver scalable solutions.
- Monitor and maintain data security and compliance with relevant regulations and policies.
- Implement data governance practices and ensure data integrity and accuracy.
- Automate repetitive data processing tasks using scripting languages such as Python or PowerShell.
- Stay updated with industry trends and best practices in data engineering and cloud technologies.
- Hands-on experience with visualization tools like Power BI.
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Proven experience as a Data Engineer or in a similar role, with a strong focus on SQL Server and Azure Data Services.
- Proficiency in SQL and experience with performance tuning and query optimization.
- Hands-on experience with Azure data services, including Azure SQL Database, Azure Data Factory, Azure Data Lake, and Azure Blob Storage.
- Familiarity with data warehousing concepts and experience with data modeling.
- Knowledge of ETL tools and processes, including data extraction, transformation, and loading.
- Strong problem-solving skills and the ability to troubleshoot complex data issues.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- Experience with scripting languages such as Python or PowerShell is a plus.
- Knowledge of data governance and data security best practices.
Preferred Qualifications:
- Experience with additional Azure services such as Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics.
- Certification in Microsoft Azure or related technologies.
- Familiarity with big data technologies and frameworks.
- Experience with DevOps practices and tools for CI/CD in data engineering is a plus.
What We Offer:
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- A collaborative and innovative work environment.
- Access to the latest tools and technologies in data engineering.
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