3 months ago
Pune, IndiaSenior / Staff+
Responsibilities
- Design, develop, and maintain ETL processes that extract, transform, and load data into the data warehouse.
- Write complex SQL queries and PL/SQL scripts for data manipulation, validation, and transformation.
- Develop and maintain Python data pipelines using related libraries such as Polar and Pandas.
- Optimize ETL processes and data pipelines for performance and scalability.
- Collaborate with data analysts and stakeholders to understand data requirements and deliver solutions.
- Implement data quality checks and monitoring for data accuracy and consistency.
- Troubleshoot data-related issues and maintain technical documentation.
- Stay current with trends and technologies in data management and analytics.
Requirements
- 7-10 years of experience in data engineering, Python, ETL, or PL/SQL development.
- Proficiency in Python, PL/SQL, SQL, ETL, data warehousing, data modeling, and database management.
- Experience designing and maintaining ETL processes, data pipelines, and database solutions.
- Strong problem-solving, communication, and teamwork skills.
- AI engineering, chunking, embedding, and prompt engineering experience are optional.
Benefits
- Full-time employment.
About Citi
Citi is a public financial-services company offering consumer and institutional banking, credit cards, wealth management, treasury and trade solutions, and capital-markets services. It serves individuals, corporations, financial institutions, and governments in more than 160 countries and jurisdictions, earning interest and fee income from lending, payments, trading, and advisory. Founded in 1812 and headquartered in New York, it trades on the NYSE under the ticker C.