About Vericence
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.
Job Summary
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).
This role requires a strong development-oriented professional who can independently design, develop, troubleshoot, and support data integration solutions in an offshore delivery environment.
Key Responsibilities
- 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).
- Build and optimize ETL/ELT workflows for enterprise data integration and migration initiatives.
- Develop and optimize complex SQL queries, stored procedures, and data transformation logic.
- Write and maintain Unix/Linux shell scripts for automation, scheduling, and operational support.
- Develop Python-based solutions for data processing, automation, and workflow optimization.
- Integrate data across cloud and on-premises systems while ensuring data quality, performance, and reliability.
- Troubleshoot production issues, perform root cause analysis, and implement sustainable fixes.
- Collaborate with cross-functional teams including architects, business analysts, and application teams to deliver high-quality data solutions.
- Follow coding standards, documentation practices, and deployment processes within an offshore delivery model.
Required Skills & Qualifications
- 7-10 years of overall experience in Data Engineering and ETL development.
- Extensive hands-on experience with Informatica Intelligent Data Management Cloud (IDMC).
Strong expertise in:
- Cloud Data Integration (CDI)
- Cloud Application Integration (CAI)
- Advanced proficiency in SQL for complex data transformations and performance optimization.
- Strong experience with Unix/Linux scripting.
- Hands-on experience with Python for data engineering, automation, and scripting.
- Experience working with at least one of the following cloud data platforms:
- Oracle Cloud Infrastructure (OCI)
- Databricks
- Microsoft Azure
- Strong analytical, troubleshooting, and problem-solving skills.
- Ability to work independently and effectively in an offshore delivery environment.
Preferred Qualifications
- Exposure to Agile development methodologies.
- Knowledge of CI/CD practices for data engineering projects.
- Experience integrating enterprise applications using cloud-native integration services.
- Familiarity with data warehousing concepts and ETL/ELT best practices.
- Experience with cloud-based data migration and modernization projects.
Nice-to-Have Certifications
Informatica IDMC Certification
Azure Data Engineer Associate
Databricks Certified Data Engineer
Oracle Cloud Data Management Certifications
