Posted on: 07/07/2026
Key Responsibilities :
- Design, develop, and maintain enterprise data integration pipelines.
- Build scalable and reliable data integration solutions across multiple business applications.
- Integrate on-premises and cloud-based systems to ensure seamless data flow.
- Drive the implementation of cloud-based data integration strategies and best practices.
- Collaborate with business, application, and data engineering teams to understand integration requirements.
- Ensure data quality, integrity, security, and governance across integration processes.
- Monitor, troubleshoot, and optimize integration workflows for performance and reliability.
- Support data migration, transformation, and synchronization initiatives.
- Develop technical documentation and maintain integration standards.
- Identify opportunities to improve integration architecture and operational efficiency.
Required Skills & Experience :
- 6+ years of experience in Data Integration or Data Engineering.
- Strong experience designing and developing enterprise integration solutions.
- Hands-on experience with ETL/ELT processes and data transformation.
- Experience integrating enterprise applications, databases, APIs, and cloud platforms.
- Strong SQL and data modeling skills.
- Experience with cloud data platforms and modern integration technologies.
- Knowledge of REST APIs, messaging systems, and data exchange protocols.
- Strong analytical, troubleshooting, and problem-solving skills.
Preferred Skills :
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
- Knowledge of data warehousing and modern data architectures.
- Experience with integration tools such as Informatica, MuleSoft, Azure Data Factory, Boomi, or similar.
- Familiarity with CI/CD pipelines and DevOps practices.
- Exposure to Agile development methodologies.
Key Competencies :
- Enterprise Data Integration
- Cloud Data Strategy
- ETL/ELT Development
- Data Quality & Governance
- API & System Integration
- Problem Solving & Analytical Thinking
- Cross-functional Collaboration
- Performance Optimization and Operational Excellence
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1651865