Data Quality Engineer - (SQL, Snowflake, ADF, Process Analysis)

Senior Data Engineer (With Quality Engineering & Business Process Analysis Responsibilities)This is for a Data Engineer who can act as a Quality engineer and also manage the ETL business process - Work location: telecommuteWork hours: 9am-5pm ESTResponsibilities: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.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 experienceFamiliarity 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 high PRIORITY requisition.