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Salesforce CPQ Developer

Diverse Lynx · Princeton, NJ · Hybrid

100100

Hiring signal

Actively hiring

Posted 4 days ago · still listed on the employer's own board · How we score

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  • Posted 4 days ago
  • Still listed on the employer's own board
  • Publishes a salary range

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Salesforce CPQ Developer at Diverse Lynx. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Location

Princeton, NJ - Hybrid- 3 days/Week from office

Bill Rate

MAX CONFIRMED-$80/HR- $85/HR.

Role

Informatica IICS / PowerCenter Developer – Oracle SQL & Production Support

Skills

Digital

Amazon Web Service(AWS) Cloud Computing~Master Data Management_Informatica (MDM)~Digital : Snowflake~Informatica CDI (Cloud Data Integration)~PL/SQL Experience Required: 10 & Above

Desirable Skills

Salesforce CPQ Developer

Role Descriptions

Good communication skills

hands-on experience in Oracle SQL

experience in database design and advance SQL Able to manage hands on experience in PowerCenter Expertise in to Informatica Cloud (IICS) Mostly supporting and with fixing minor is

Awareness of Agile Framework

Key Responsibilities -1. Design| develop| test| deploy| and maintain scalable ETL and data integration pipelines using Informatica IICS / IDMC and Cloud Data Integration.2. Develop and Eligible to workimize mappings| mapping tasks| taskflows| reusable components| schedules| parameters| and integration workflows.3. Analyze existing Informatica PowerCenter workloads and support migration| redesign| and modernization to IICS / IDMC.4. Implement cloud data integration solutions connecting enterprise databases| applications| cloud platforms| data warehouses| and analytical platforms.5. Develop and Eligible to workimize SQL and PL/SQL components required for data extraction| transformation| loading| validation| and reconciliation.6. Implement data-quality checks| validation rules| reconciliation controls| exception handling| and appropriate MDM-related integration patterns.7. Perform performance tuning of mappings| taskflows| SQL queries| database operations| and end-to-end data pipelines.8. Troubleshoot integration failures| data issues| and production incidents| perform root cause analysis| and implement permanent corrective actions.9. Collaborate with data architects| business analysts| application teams| database teams| cloud teams| QA teams| and business stakeholders to understand and deliver integration requirements.10. Support unit testing| system integration testing| regression testing| data validation| deployment| and production readiness activities.11. Follow enterprise development standards| security requirements| data governance policies| release processes| and change-management controls.12. Prepare and maintain technical specifications| source-to-target mappings| implementation documents| operational runbooks| deployment instructions| and knowledge transfer materials.

Essential Skills

Additional Information for Competencies -1. Strong hands-on experience with Informatica Intelligent Cloud Services (IICS) / Informatica Data Management Cloud (IDMC) and Cloud Data Integration (CDI).2. Deep expertise in ETL and ELT development| enterprise data integration patterns| and cloud data integration solutions.3. Strong experience with Informatica PowerCenter and migration or modernization of PowerCenter workloads to IICS / IDMC.4. Strong hands-on experience developing mappings| mapping tasks| taskflows| reusable components| parameterization| and integration workflows.5. Advanced SQL and PL/SQL skills with experience developing| debugging| and Eligible to workimizing complex queries| stored procedures| functions| and database objects.6. Good understanding of Data Quality| data profiling| validation| reconciliation| governance| and Master Data Management concepts.7. Experience integrating data across cloud platforms and data platforms including AWS| Azure| Snowflake| and Amazon Redshift.8. Strong understanding of source-to-target mapping| data transformation| error handling| restartability| monitoring| logging| and operational support requirements.9. Experience with performance tuning| production troubleshooting| root cause analysis| and Eligible to workimization of high-volume data integration pipelines.10. Strong analytical| technical documentation| communication| mentoring| and stakeholder collaboration skills.

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