Description:
This is for Data Engineer who can be acted as Quality engineer and also to manage the ETL Business process - Work location : telecommute
Work hours : 9am-5pm EST
Job Title: Senior Data Engineer (with Quality Engineering & Business Process Analysis Responsibilities)
Location: Remote /MN
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).
Data Quality Engineer - (SQL, Snowflake, ADF, Process Analysis) • Minneapolis, MN, United States
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