Job Description

Kforce has a client in need of a Senior Data Quality & Snowflake Migration Engineer in Boston, MA. Responsibilities:

• Design and implement data quality and validation processes for large-scale cloud data migrations
• Profile source data to identify accuracy, completeness, consistency, duplication, and formatting issues
• Develop SQL-based validation rules, reconciliation processes, and exception reporting
• Perform source-to-target mapping, transformation analysis, and data validation throughout the migration lifecycle
• Build and support ETL/ELT processes for data cleansing, transformation, integration, and migration
• Validate record counts, key data elements, transformations, and overall accuracy between source and target environments
• Investigate data quality issues, perform root-cause analysis, and coordinate remediation efforts
• Automate data processing, validation, and quality checks using SQL and Python
• Develop reporting and monitoring solutions to track migration progress, exceptions, and data quality
• Support testing, user acceptance, production deployment, and post-migration validation activities
• Partner with data engineers, architects, analysts, and business stakeholders to establish data quality and migration requirements
• Maintain data integrity, lineage, and dependencies across complex enterprise datasets
• Strong experience with Snowflake and advanced SQL development
• Hands-on experience with enterprise data migration, integration, and reconciliation initiatives
• Experience developing and implementing data quality controls, validation rules, and automated checks
• Strong knowledge of source-to-target mapping, data transformation, and field-level validation
• Experience with ETL/ELT development and modern data integration practices
• Proficiency with Python for data processing, automation, or validation
• Experience with AWS or similar cloud-based storage and data environments
• Strong understanding of data profiling, cleansing, standardization, and duplicate identification
• Experience investigating data issues and performing root-cause analysis
• Knowledge of data lineage, dependencies, and data integrity principles
• Experience developing exception reporting and managing data remediation efforts
• Experience supporting migration testing, production deployments, and post-implementation validation
• Strong analytical, troubleshooting, and cross-functional collaboration skills

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