- *Job Description – Informatica IDMC Data Quality Engineer (7\+ Years Experience)**
===================================================================================
- *Position Title \-** **Senior Informatica IDMC Data Quality Engineer**
- ----------------------------------------------------------------------
- *Experience \=** **7\+ Years**
- ------------------------------
- *Employment Type \= Full\-Time**
- --------------------------------
- *Travel Requirement \-** **Candidate must be open to business travel (International) based on project and client requirements.**
- --------------------------------------------------------------------------------------------------------------------------------
- *Role Overview**
- ----------------
We are seeking an experienced **Informatica IDMC Data Quality Engineer** with 7\+ years of experience in data quality, data governance, and enterprise data management solutions. The ideal candidate will possess strong expertise in **Informatica Intelligent Data Management Cloud (IDMC)**, particularly **Data Quality (DQ)**, along with hands\-on experience in designing, implementing, and supporting enterprise\-scale data quality frameworks.
The candidate will work closely with business stakeholders, data architects, governance teams, and development teams to ensure data accuracy, consistency, completeness, and compliance across the organization's data landscape.
- *Key Responsibilities**
- -----------------------
- Design, develop, and implement data quality solutions using **Informatica IDMC Data Quality**.
- Create and maintain data profiling, data validation, standardization, cleansing, matching, and monitoring processes.
- Develop reusable data quality rules, scorecards, and dashboards to measure and improve data quality.
- Collaborate with business users and data stewards to define and document data quality requirements.
- Analyze data quality issues, perform root cause analysis, and recommend remediation strategies.
- Integrate data quality processes with data integration and master data management initiatives.
- Support data governance programs by implementing quality controls and monitoring frameworks.
- Optimize IDMC jobs and workflows for performance, scalability, and reliability.
- Participate in data migration, modernization, and cloud transformation initiatives.
- Prepare technical documentation, design specifications, and operational support procedures.
- Provide production support and troubleshoot complex data quality issues.
- Mentor junior team members and contribute to best practices and standards.
- *Required Skills \& Experience**
- --------------------------------
### **Must\-Have Skills**
- 7\+ years of experience in Data Management, Data Quality, or Data Integration.
- Strong hands\-on experience with **Informatica Intelligent Data Management Cloud (IDMC)**.
- Expertise in **Informatica Data Quality (DQ)**, including:
+ Data Profiling
+ Data Standardization
+ Data Cleansing
+ Data Matching \& Deduplication
+ Exception Management
+ Data Quality Rule Development
- Experience with **Cloud Data Integration (CDI)** and related IDMC services.
- Strong SQL skills with experience working on large\-scale datasets.
- Experience with relational databases such as Oracle, SQL Server, PostgreSQL, or Snowflake.
- Understanding of Data Governance and Master Data Management concepts.
- Experience in ETL/ELT development and data integration processes.
- Strong troubleshooting and performance tuning skills.
- Experience working in Agile/Scrum environments.
- *Preferred Skills**
- -------------------
- Informatica IDMC certifications.
- Experience with cloud platforms such as:
+ AWS
+ Azure
+ Google Cloud Platform (GCP)
- Experience with Snowflake, Databricks, or other modern cloud data platforms.
- Familiarity with data catalog, metadata management, and governance tools.
- Knowledge of data privacy and regulatory compliance standards.
- Experience with CI/CD and DevOps practices.
- *Educational Qualifications**
- -----------------------------
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
NdbdxdZmTf