Job Summary:

We are seeking a highly experienced and motivated Lead Data Engineer to join our Data Analytics developers team. The ideal candidate will possess 10-15 years of extensive experience in the finance domain, with a strong background in designing, developing, and maintaining robust data pipelines and systems. This role requires deep technical expertise in database technologies, programming, and automation, coupled with the ability to lead projects independently and effectively communicate with business stakeholders. The successful candidate will play a critical role in transforming raw data into actionable insights, driving strategic decision-making within the organization, building AI-based solutions, and leveraging cutting-edge Agentic AI solutions and AI-powered productivity tools to enhance data engineering processes.

Responsibilities:
- Design, develop, and optimize scalable and high-performance data pipelines using various technologies to support business intelligence and analytical needs.
- Work closely with business users, analysts,



and other engineering teams to understand data requirements and translate them into technical solutions.
- Develop and maintain complex SQL and and PL/SQL scripts for data extraction, transformation, and loading (ETL) processes, primarily on Oracle databases, focusing on performance tuning and optimization.
- Implement and manage automation workflows using Autosys to schedule and monitor batch jobs, ensuring data availability and integrity.
- Develop and maintain data processing scripts and applications using Python, focusing on efficiency, reliability, writing performant code, and best practices.
- Manage and operate data processes within a Unix/Linux workplace, including scripting for process automation, monitoring, and troubleshooting.
- Contribute to the continuous integration and continuous deployment (CI/CD) pipeline for data solutions, promoting automation and efficiency in software delivery.
- Ensure data qua

📌 Python with AI Engineering (Pune Division)
🏢 Citi
📍 Pune Division