Data Quality Engineer - Minneapolis, MN

Job Description

Job DescriptionJob Description:

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

Quality Engineering

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.

Business Process Analysis

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.

Required Skills & Qualifications

Technical Expertise:

Advanced SQL skills for complex queries and performance tuning.

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

Additional Skills:

Strong understanding of data governance and quality assurance practices.

Business process analysis and documentation experience.

Preferred:

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).

This is a remote position.