Data Engineer

We are seeking a highly skilled AI Workflow Ticketing Developer / Data Engineer with expertise in Angular, Java, SQL, Oracle, and Data Engineering concepts. The ideal candidate should have experience in AI/ML, ETL pipelines, data transformation, and large dataset processing.

Key Responsibilities:

• Develop and optimize AI-based workflow ticketing systems.
• Build and maintain applications using Angular (TypeScript, RxJS, Angular Material) and Java (Spring / Hibernate).
• Design and implement ETL pipelines for data transformation and processing of large datasets.
• Work with SQL, Oracle, and database architecture to enhance data models.
• Write efficient scripts for ETL optimization and automation.
• Collaborate with cross-functional teams to build scalable AI/ML-driven applications.
• Required Skills & Qualifications:
• Strong experience in Angular, Java, SQL, and Oracle.
• Proficiency in Spring or Hibernate frameworks.
• Hands-on experience in AI/ML concepts and implementation.
• Expertise in ETL pipeline development, data engineering, and optimization.
• Familiarity with scripting languages for automation.
• Understanding of database architecture and data modeling.
• Excellent problem-solving and analytical skills.

Preferred Qualifications:

• Experience in cloud-based data engineering solutions.
• Knowledge of big data processing frameworks.
• Strong background in data security and governance.

If you are passionate about working on cutting-edge AI workflow systems and have a strong background in data engineering and application development, we would love to hear from you!

Apply now to be a part of our innovative team.