Data Engineer II

ngineering wiki, and document work. Automate manual processes and optimize data delivery. Implement data ingestion routines using best practices in data modeling, ETL/ELT processes by leveraging Microsoft Azure technologies. Assist business users with report development through SQL queries, Power BI, or other query tools. Produce comprehensive usable dataset documentation and metadata. Work with internal customers to solve, implement, and lead through the deployment of technical solutions for their business needs. Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Design data integrations and data quality framework. Understand and enforce data quality and governance standards like data lineage and traceability. Contribute to data strategy in support of data and data architecture scalability and ability to meet business needs.

Requirements:

Master's degree in Computer Science, Computer Engineering, Management of Information Systems, or a related field and 2 years of experience developing and maintaining scalable data pipelines; performing data modeling; and utilizing ETL/ELT processes, Microsoft Azure, SQL, Power BI, and Python.