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Citi Logo Citi · IT - Software Development

Python with AI Engineering - Vice President

India, Pune · Job Posted June 03, 2026
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Job Description

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.

Job Responsibility

  • 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 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 environment, 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 quality, accuracy, and consistency across all data platforms
  • Explore, evaluate, and integrate Agentic AI frameworks and AI-driven tools to enhance productivity, automate routine tasks, and optimize data engineering workflows
  • Design, build, and deploy AI-driven solutions to solve complex business problems and enhance data analytics capabilities
  • Independently drive projects from inception to completion, taking ownership of technical design, implementation, and deployment
  • Provide technical guidance and mentorship to junior team members
  • Act as a subject matter expert for data engineering practices and technologies within the team
  • Troubleshoot data-related issues and perform root cause analysis to implement effective solutions

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field
  • 10-15 years of progressive experience in Data Engineering roles within the finance industry
  • Proven expertise in Oracle SQL and PL/SQL for complex data manipulation, stored procedures, functions, and database performance optimization
  • Strong proficiency in Python for data processing, scripting, and application development, with a focus on writing high-performance, efficient code
  • Extensive experience with job scheduling tools, specifically Autosys, including job definition, dependency management, and monitoring
  • Solid understanding and hands-on experience with Unix/Linux operating systems, including shell scripting and command-line tools
  • Demonstrated experience in implementing and maintaining CI/CD pipelines for data engineering projects
  • Deep understanding of data warehousing concepts, ETL/ELT principles, and data modeling techniques
  • Methodology of AI includes Chunking, Embedding, AI Engineering, Prompt Engineering
  • Extensive Design Experience handling Large Data Volume
  • Realtime data Processing over Kafka/ Solace etc.

Nice to have

  • Experience with other database technologies (e.g., Oracle, PostgreSQL, SQL Server)
  • Familiarity with cloud platforms (AWS, Azure, GCP) and their data services
  • Knowledge of big data technologies (e.g., Spark, Hadoop)
  • Demonstrated exposure to Agentic AI concepts, frameworks, and applications
  • Practical experience utilizing AI tools to improve productivity in data-related tasks (e.g., code generation, anomaly detection, automated data cleansing)
  • Experience in developing and deploying machine learning models or AI solutions in a production environment
  • Methodology of AI includes Chunking, Embedding, AI Engineering, Prompt Engineering
  • Excellent verbal and written communication skills with the ability to interact effectively with business users, technical teams, and senior management
  • Strong problem-solving and analytical skills, with a keen eye for detail
  • Ability to work independently, prioritize tasks, and manage multiple projects concurrently
  • Demonstrated ability to drive initiatives and deliver high-quality solutions with minimal supervision
  • Proactive and self-motivated with a continuous learning mindset
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