Informatica Data Quality Consultant

3 months ago

Bengaluru, India Anlage Infotech (India) P Ltd Full time

Education and Experience

 Education: B.Tech/M.Tech/MCA/MS/MBA.

 3- 9 years of experience in design and implementation of Data Management solutions using

IDMC - CDQ.


Required Skills

 Must be strong in understanding the architecture and design principles of IDMC.

 Experience in IDMC - CDQ development around data profiling, cleansing, parsing,

standardization, verification, matching, and merging duplicate records.

 Good knowledge of at least one Address Validation and Cleansing tool (Address Doctor,

Trillium, etc.).

 Ability to develop and manage data quality rules and scorecards within Informatica Cloud.

 Ability to set up and maintain data quality dashboards and generate reports to monitor data

quality metrics.

 Must be strong in Informatica Cloud features like agent configuration, task automation, and

deployments of task flows across different environments.


 Should have working knowledge of GitHub, DevOps, CI/CD, and enterprise code management

tools.

 Experience with ETL processes and using Informatica Cloud Data Integration for data

integration tasks.

 Understanding of data governance frameworks and their application to data quality

management.

 Strong SQL skills and familiarity with various database management systems.

 Well-versed in understanding design documents like HLD, LLD, etc.

 Strong problem-solving and analytical capabilities.

 Candidates should possess good communication skills and have experience in the onsite-

offshore model.

Preferred Skills

 Good knowledge of data quality trends and other tools in the market.

 Should be a self-starter in solution implementation with inputs from design documents.

 Should have participated in various kinds of testing like Unit Testing, System Testing, User

Acceptance Testing, etc.

 Participation in client interactions/meetings is desirable.

 Familiarity with cloud platforms such as AWS, Azure, or Google Cloud and their data services.

 Proficiency in automating data quality tasks to improve efficiency and reduce manual

intervention.

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