You will architect, design, and develop large-scale data engineering applications and distributed data processing systems.
Responsibilities
- Architect and design highly scalable distributed data processing systems.
- Implement batch and real-time data integration frameworks and applications.
- Develop PL/SQL objects in Oracle, Teradata, or PostgreSQL based on business logic.
- Perform SQL and PL/SQL code tuning, including partition and index creation for performance optimization.
- Execute data integration projects within Agile Kanban and Scrum environments.
Required Skills
- 10+ years of professional experience in data engineering and architecture.
- 3-5 years of experience implementing batch and real-time data integration frameworks.
- 2-3 years of hands-on experience implementing ETL with Informatica IICS.
- 3-5 years of experience working with columnar databases such as MongoDB.
- Minimum 3 years of hands-on experience with Oracle PL/SQL and advanced query optimization.
- Proficiency with DevOps, CI/CD tools including Jenkins and Stash.
- Experience with Informatica IDMC MDM SaaS, including CDI, CAI, and Cloud Integration Hub.
- Working knowledge of Cloud Data Quality (CDQ), Master Data Management, and Data Governance.
- Ability to work within Agile frameworks like Kanban and Scrum.
Preferred Skills
- Deep understanding of Cloud Data Quality (CDQ) and Data Governance principles.