Citi

Data Engineer - Python AI - Assistant Vice President

Citi Pune, Maharashtra, India

Financial Services · 10,001+ employees

12 h ago
python Senior (5-10 yrs) Full-time India
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About the role

Design, develop, and maintain ETL processes and data pipelines to support organizational data needs. Collaborate with stakeholders to implement data quality monitoring and ensure the accuracy and consistency of database solutions.

What they look for

Python ETL PL/SQL SQL Data Warehousing Data Modeling Database Management Problem Solving Communication Teamwork AI Engineering Prompt Engineering Pandas Polars Data Pipelines Data Quality

Requirements

Requires 7-10 years of experience with proficiency in Python, ETL, and PL/SQL development. Candidates should have a strong understanding of data warehousing concepts and experience with AI engineering methodologies like chunking and embedding.

Full description

Data Engineer (7-10  Years Exp):

Job Title: Python, ETL, AI Engineering (Optional) and PL/SQL Developer 

Job Description:

We are seeking a skilled and motivated Python, ETL, and PL/SQL Developer to join our Data and Analytics team. 

The ideal candidate will be responsible for designing, developing, and maintaining ETL processes, data pipelines, and database solutions to support our growing data needs.  This role requires a strong understanding of data warehousing concepts, experience with various ETL tools, and proficiency in Python, PL/SQL, and database technologies. Methodology of AI includes Chunking, Embedding, AI Engineering, Prompt Engineering  

Responsibilities:

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.

Skills: Python ETL PL/SQL SQL Data Warehousing Data Modeling Database Management Problem Solving Communication Teamwork

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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.------------------------------------------------------

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

 

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