Sr. IDQ Developer

Job Title : Sr. IDQ Developer

Location : 199 Bay Street, Toronto, ON

Duration : Long Term Contract

Job Summary :

Seeking a Sr. IDQ Developer with 8 to 10 years of experience.

Expertise required in Infa Cloud Data Quality, Informatica Data Quality (IDQ), Infa Cloud Address Verification, Infa Cloud Data Integration, Infa Cloud Data Profiling, Informatica Analyst, and Informatica Address Doctor.

Strong background in Life and Annuities Insurance.

Hybrid role with day shift and no travel required.

Required Skills :

Technical Skills : Informatica Analyst, Informatica Address Doctor, Infa Cloud Data Profiling, Infa Cloud Data Integration, Infa Cloud Address Verification, Informatica Data Quality (IDQ), Infa Cloud Data Quality.

Domain Skills : Life and Annuities Insurance.

Responsibilities :

Lead the development and implementation of data quality solutions.

Oversee data integration across various platforms.

Provide expertise in data profiling and analysis.

Ensure accurate address verification and data enrichment.

Collaborate with cross-functional teams to deliver high-quality data solutions.

Develop and maintain data quality rules, mappings, and workflows.

Monitor and troubleshoot data quality issues.

Implement best practices for data governance and management.

Conduct regular data quality assessments and generate reports.

Provide training and support on data quality tools and processes.

Participate in code reviews and ensure adherence to coding standards.

Contribute to the continuous improvement of data quality processes.

Collaborate with stakeholders to define and prioritize data quality initiatives.

Qualifications :

Strong expertise in Infa Cloud Data Quality, Informatica Data Quality (IDQ), and Infa Cloud Address Verification.

Proficiency in Infa Cloud Data Integration and Infa Cloud Data Profiling.

Experience with Informatica Analyst and Informatica Address Doctor.

Solid understanding of Life and Annuities Insurance domain.

Excellent problem-solving and analytical skills.

Strong communication and collaboration abilities.

Ability to work effectively in a hybrid work model.

Proactive and detail-oriented approach.

Commitment to delivering high-quality data solutions.

Ability to manage multiple tasks and priorities.

Strong organizational and time management skills.

Continuous learning mindset.

Ability to work independently and as part of a team.