Description

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.

Key Skills

Education

Any Graduate