Data Engineer – Informatica IDMC (IICS)

Job Summary : We are seeking a highly skilled

Data Engineer

with a minimum of

5 years of hands-on experience

in

Informatica Intelligent Data Management Cloud (IDMC or IICS) . The successful candidate will design, implement, and maintain scalable data integration solutions using Informatica Cloud services.

Experience with CI / CD pipelines

is required to ensure efficient development and deployment cycles. Familiarity with

Informatica Catalog ,

Data Governance , and

Data Quality

is considered a strong advantage.

Key Responsibilities :

Design, build, and optimize end-to-end data pipelines using

Informatica IDMC (or IICS) , including Cloud Data Integration and Cloud Application Integration. Implement ETL / ELT processes to support data lakehouse, and EDW use cases. Develop and maintain CI / CD pipelines to support automated deployment and version control. Work closely with data architects, analysts, and business stakeholders to translate data requirements into scalable solutions. Monitor job performance, troubleshoot issues, and ensure compliance with SLAs and data quality standards. Document technical designs, workflows, and integration processes following best practices. Collaborate with DevOps and cloud engineering teams to ensure seamless integration within the cloud ecosystem.

Required Qualifications :

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field. Minimum

5 years of hands-on experience

with

Informatica IDMC . Experience in building and deploying

CI / CD pipelines

using tools such as Git, or Azure DevOps. Proficient in

SQL , data modeling, and transformation logic. Experience with cloud platforms (Azure or OCI). Strong problem-solving skills in data operations and pipeline performance.

Preferred / Nice-to-Have Skills :

Experience with

Informatica Data Catalog

for metadata and lineage tracking. Familiarity with

Informatica Data Governance

tools such as Axon and Business Glossary. Hands-on experience with

Informatica Data Quality (IDQ)

for data profiling, cleansing. Experience developing data pipelines using Azure Data Factory.

#J-18808-Ljbffr