Description

You will design and optimize scalable data pipelines and AI-driven solutions for complex business problems. This role combines heavy Oracle SQL/PL/SQL work with Python engineering and modern Agentic AI integration.

This role is on-site.

Responsibilities

• Design and build scalable data pipelines using Python and Oracle SQL/PL/SQL for extraction, transformation, and loading.
• Implement and manage automation workflows using Autosys to schedule and monitor batch jobs in a Unix/Linux environment.
• Develop and deploy AI-driven solutions, including Agentic AI frameworks, to automate routine tasks and enhance data analytics.
• Optimize database performance, tuning complex SQL scripts and stored procedures for high-volume data processing.
• Manage CI/CD pipelines for data solutions and ensure data quality through comprehensive testing and validation.

Required Skills

• 10+ years of progressive experience in Data Engineering, preferably within the finance industry.
• Deep expertise in Oracle SQL and PL/SQL, including performance tuning, stored procedures, and functions.
• Strong proficiency in Python for data processing, scripting, and application development.
• Hands-on experience with ETL tools, Autosys, and Unix/Linux environment management.
• Knowledge of CI/CD practices and data pipeline automation.
• Familiarity with Kafka for data streaming and integration.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Preferred Skills

• Practical experience with Agentic AI concepts, including Chunking, Embedding, and Prompt Engineering.
• Exposure to cloud platforms (AWS, Azure, GCP) and big data technologies like Spark and Hadoop.
• Experience deploying machine learning models or AI solutions in production environments.

Key Skills

Education

Any Graduate