Data Engineer - Python AI - Assistant Vice President

Citibank (Switzerland) AG; Pune District; On-site; Confidential; Full time

Job summary

Citibank (Switzerland) AG in Pune, Maharashtra seeks a Data Engineer with 7-10 years of hands-on experience in Python, ETL, and PL/SQL to design, develop, and maintain data pipelines and warehousing solutions.

You will write complex SQL, build data models, ensure data quality, and collaborate with analysts to meet data needs. AI engineering concepts are optional familiarity.

Qualifications

• Minimum 7–10 years of relevant work experience.
• Proficient in Python, ETL, SQL, and PL/SQL for data processing.
• Experience with data warehousing concepts and data modeling.

Responsibilities

• Design, develop, and maintain ETL processes to load data into the data warehouse.
• Write complex SQL and PL/SQL scripts for data manipulation and validation.
• Develop and maintain data pipelines using Python and related libraries.
• Optimize ETL pipelines for performance and scalability.
• Collaborate with analysts to understand data requirements and ensure quality.

Skills

Python

ETL

PL/SQL

SQL

Data Warehousing

Data Modeling

Database Management

Problem Solving

Communication

Teamwork

Job 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

Job Family Group

Technology

Job Family

Applications Development

Time Type

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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