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You will be updated with latest job alerts via emailJob Title: Sr. Informatica IDQ Data Engineer (Snowflake Azure)
Location: Madison WI (Need Local)
Duration: 12 Months (Contract)
Interview mode: Virtual
Visa: USC /GC Only !!!
Note: Candidate must have strong experience with Informatica IDQ Snowflake and Azure experience.
Job Description-
Financial domain exp must
JOB IS ONSITE
Required Responsibilities:
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.
Required Skills:
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
Full-time