Data Quality Engineer - Minneapolis, MN - Full-time

 

This is for Data Engineer who can be acted as Quality engineer and also to manage the ETL Business process

 

Work hours : 9am-5pm EST

 

Experience Level: Senior

 

 

·       Perform data validation and regression testing for ETL processes.

 

·       Develop automated QA frameworks for data pipelines.

 

·       Ensure adherence to data quality standards and regulatory compliance.

 

 

·       Analyze existing business processes and identify improvement opportunities.

 

·       Document workflows and create SOPs for data-related operations.

 

·       Partner with stakeholders to implement process automation and efficiency enhancements.

 

 

 

·       Advanced SQL skills for complex queries and performance tuning.

 

·       Hands-on experience with Snowflake, Databricks, and ADF.

 

 

·       Strong understanding of data governance and quality assurance practices.

 

·       Business process analysis and documentation experience.

 

 

·       HEALTHCARE Domain experience

 

·       Familiarity with cloud-native architectures and agile methodologies.

 

·       Knowledge of Python and data visualization tools (Power BI/Tableau).

 

·       Relevant certifications (e.g., Microsoft DP-203, Azure Databricks).