Role at a glance
- Job function
-
AI & Data Data Engineering Generative AI Engineering
- Salary
- Not Disclosed
- Location
- Pune Maharashtra India
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- At least 10+ years of hands-on application development experience.
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Role Summary
This role develops and maintains ETL processes, data pipelines, database solutions, and AI services for enterprise applications. The work spans data quality and transformation, scalable agentic AI systems, API development, and operationally stable architectures.
What You'll Do
- Design, develop, and maintain ETL processes that load data into the data warehouse.
- Write SQL queries and PL/SQL scripts for data manipulation, validation, and transformation.
- Develop, optimize, and maintain Python data pipelines for performance and scalability.
- Collaborate with data analysts and stakeholders to understand data requirements and develop solutions.
- Implement data quality checks and monitoring, and troubleshoot data-related issues.
- Create and maintain technical documentation for ETL processes, data pipelines, and database solutions.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Requires deep hands-on experience engineering scalable enterprise solutions; expert-level Python proficiency; strong knowledge of Oracle, MySQL, SQL, Postgres, or MongoDB; experience with ETL, data pipelines, APIs, AI engineering, prompt engineering, LLMs, agentic AI systems, MCPs, system design, microservices, event-driven architectures, Docker, OpenShift, Git, CI/CD, testing, code reviews, application resiliency, and security principles. Requires strong analytical, problem-solving, communication, and teamwork skills.
Required
- Hands-on application development experience
- ETL processes and data pipelines
- Complex SQL queries and PL/SQL scripts
- Python
- Data quality checks and monitoring
- Oracle, MySQL, or SQL databases
- AI engineering and prompt engineering
- FastAPI, Flask, or PySpark
Preferred
- TensorFlow or PyTorch
- Scikit-Learn, NumPy, or Pandas
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Experience: At least 10+ years of hands-on application development experience.
Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into our data warehouse.
Write complex SQL queries and PL/SQL scripts to perform data manipulation, validation, and transformation.
Develop and maintain data pipelines using Python and related libraries (e.g., Polar ,Pandas).
Optimize ETL processes and data pipelines for performance and scalability.
Collaborate with data analysts and other stakeholders to understand data requirements and develop solutions to meet their needs.
Implement data quality checks and monitoring to ensure data accuracy and consistency.
Troubleshoot and resolve data-related issues.
Create and maintain technical documentation for ETL processes, data pipelines, and database solutions.
Stay up-to-date with the latest trends and technologies in data management and analytics.
Database Knowledge: Strong knowledge of databases such as Oracle/MY SQL/SQL.
Scripting: Strong knowledge of Python.
Problem-Solving: Excellent analytical and problem-solving skills.
Communication: Strong communication and interpersonal skills.
Teamwork: Ability to work effectively in a team environment.
Methodology of AI includes Chunking, Embedding, AI Engineering, Prompt Engineering
Deep hands-on experience in engineering and executing scalable enterprise solutions.
Expert-level proficiency in Python (e.g., FastAPI, Flask, PySpark)
Proficiency in database technologies, such as Oracle, Postgres, or MongoDB.
Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems.
Hands-on experience with relevant frameworks (e.g., Google ADK, LanGraph, LangChain, AutoGen, CrewAI, N8N).
Good to have experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., Scikit-Learn, NumPy, Pandas).
Proven experience in creating, deploying, and integrating MCPs (Model Context Protocol) into agentic AI systems.
Deep familiarity with large language models (LLMs) such as ChatGPT, Claude, Gemini, and Llama, including their application within agentic systems.
Demonstrated experience in designing and implementing robust APIs for AI services.
Proficient in software development best practices, including version control (Git), CI/CD pipelines, comprehensive testing, and code reviews. Strong understanding of agile methodologies, application resiliency, and security principles applied to complex AI projects. Proven expertise in system design, application development, and ensuring operational stability for AI initiatives.
Deep experience with application and data architecture patterns and designs. Experience leveraging managed services and existing platforms, with a strong emphasis on API-First Design, microservices, and event-driven architectures.
Hands-on experience with Docker and Openshift.
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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About the company
Citi
Large Enterprise
Citi is a global financial services corporation that offers a wide range of financial products and services, including consumer banking, credit, investment banking, and wealth management. With a presence in nearly 100 countries, Citi serves millions of customers, from individuals and small businesses to large corporations and governments. The company is dedicated to innovation and sustainability, actively working to support economic growth while addressing environmental and social challenges. Citi’s commitment to providing exceptional service and fostering diverse talent makes it a prominent choice for students aspiring to build a career in finance and banking.