Job Description

Data Quality Engineer

100% Remote

Phone+Skype

Long Term Contract

JD:

A seasoned Data Quality/Data Analytics Engineer Contractor that will perform the following essential activities, which include, but are not limited to:

• Design and implement data quality rules in Informatica Data Quality (IDQ) to validate file formats, schema consistency, completeness, and business logic compliance.
• Establish and manage SLA monitoring frameworks to track external file delivery timeliness, frequency, and compliance with contractual or operational expectations.
• Create and maintain alerting and exception workflows for missing, late, or malformed file deliveries.
• Profile incoming data stored in Azure Blob Storage and loaded into Snowflake for issues such as null values, duplicates, schema drift, or logic violations.
• Work with data engineering teams to ensure seamless integration of validation steps into SWIB's ingestion pipelines.
• Collaborate with business and governance stakeholders to define quality thresholds, acceptance criteria, and reporting standards.
• Generate documentation, dashboards, and issue logs to track quality metrics and SLA performance.
• Contribute to root-cause analysis and implement corrective actions to address quality breaches or SLA violations.

The Contractor requires the following skills, abilities, and background:

• 3+ years of advanced experience with Informatica Data Quality (IDQ), including rule creation, data profiling, and monitoring.
• Familiarity with financial datasets, including security master and holding datasets, commonly used in investment operations.
• Execution level familiarity with ETL orchestration, data contracts, or third-party file delivery standards.
• Proficiency in Snowflake and experience with profiling and managing large datasets.
• 3+ years of experience working with Azure Blob Storage and Snowflake Snowpipe.
• 2+ years of experience working with FactSet.
• 2+ years of experience designing and supporting SLA monitoring and alerting systems around data intake.
• 3+ years of familiarity with data quality dimensions (e.g., accuracy, completeness, validity, timeliness).

The Contractor would also benefit from the following skills and background:

• Past Financial or Asset Management Industry experience.
• Strong collaboration, documentation, and communication skills.

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