Data Quality/Data Analytics Engineer

Location: Madison, WISCONSIN

Financial domain exp must

RATE : $DOE/HR

JOB IS ONSITE

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 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.

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