Job Description

About Vericence

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Vericence is a digital engineering and technology consulting firm helping enterprises build AI-driven platforms, modernize legacy systems, and scale innovation through cloud, data, and intelligent engineering. We partner with global organizations to deliver high-impact technology solutions and build world-class engineering teams.

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Job Summary

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We are looking for an experienced Data Engineer with 7-10 years of hands-on experience in building, integrating, and optimizing enterprise data solutions. The ideal candidate should have strong expertise in Informatica Intelligent Data Management Cloud (IDMC).

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This role requires a strong development-oriented professional who can independently design, develop, troubleshoot, and support data integration solutions in an offshore delivery environment.

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Key Responsibilities

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- Design, develop, and maintain scalable data integration pipelines using Informatica IDMC, with a strong focus on Cloud Data Integration (CDI) and Cloud Application Integration (CAI).
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- Build and optimize ETL/ELT workflows for enterprise data integration and migration initiatives.
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- Develop and optimize complex SQL queries, stored procedures, and data transformation logic.
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- Write and maintain Unix/Linux shell scripts for automation, scheduling, and operational support.
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- Develop Python-based solutions for data processing, automation, and workflow optimization.
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- Integrate data across cloud and on-premises systems while ensuring data quality, performance, and reliability.
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- Troubleshoot production issues, perform root cause analysis, and implement sustainable fixes.
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- Collaborate with cross-functional teams including architects, business analysts, and application teams to deliver high-quality data solutions.
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- Follow coding standards, documentation practices, and deployment processes within an offshore delivery model.
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Required Skills & Qualifications

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- 7-10 years of overall experience in Data Engineering and ETL development.
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- Extensive hands-on experience with Informatica Intelligent Data Management Cloud (IDMC).
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Strong expertise in:

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- Cloud Data Integration (CDI)
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- Cloud Application Integration (CAI)
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- Advanced proficiency in SQL for complex data transformations and performance optimization.
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- Strong experience with Unix/Linux scripting.
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- Hands-on experience with Python for data engineering, automation, and scripting.
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- Experience working with at least one of the following cloud data platforms:
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- Oracle Cloud Infrastructure (OCI)
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- Databricks
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- Microsoft Azure
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- Solid analytical, troubleshooting, and problem-solving skills.
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- Ability to work independently and effectively in an offshore delivery environment.
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Preferred Qualifications

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- Exposure to Agile development methodologies.
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- Knowledge of CI/CD practices for data engineering projects.
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- Experience integrating enterprise applications using cloud-native integration services.
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- Familiarity with data warehousing concepts and ETL/ELT best practices.
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- Experience with cloud-based data migration and modernization projects.
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Nice-to-Have Certifications

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Informatica IDMC Certification

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Azure Data Engineer Associate

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Databricks Certified Data Engineer

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Oracle Cloud Data Management Certifications

📌 Sr. Informatica IDMC Data Engineer (India)
🏢 Vericence
📍 India