Python Data Engineer Job at Citi (Chennai)

Python Data Engineer

Citi

Location:
India , Chennai

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We are seeking a highly motivated and intuitive Python Developer to join our dynamic team, focusing on critical data migration and profiling initiatives. The ideal candidate will be a self-starter with strong engineering principles, capable of designing and implementing robust solutions for handling large datasets and complex data flows. This role offers an exciting opportunity to work on challenging projects that drive significant impact within our data ecosystem.

Job Responsibility:

Develop, test, and deploy high-quality Python code for data migration, data profiling, and data processing
Design and implement scalable solutions for working with large and complex datasets, ensuring data integrity and performance
Utilize PySpark for distributed data processing and analytics on large-scale data platforms
Develop and optimize SQL queries for various database systems, including Oracle, to extract, transform, and load data efficiently
Integrate Python applications with JDBC-compliant databases (e.g., Oracle) for seamless data interaction
Implement data streaming solutions to process real-time or near real-time data efficiently
Perform in-depth data analysis using Python libraries, especially Pandas, to understand data characteristics, identify anomalies, and support profiling efforts
Collaborate with data architects, data engineers, and business stakeholders to understand requirements and translate them into technical specifications
Contribute to the design and architecture of data solutions, ensuring best practices in data management and engineering
Troubleshoot and resolve technical issues related to data pipelines, performance, and data quality

Requirements:

4-7 years of relevant experience in the Financial Service industry
Strong Proficiency in Python: Excellent command of Python programming, including object-oriented principles, data structures, and algorithms
PySpark Experience: Demonstrated experience with PySpark for big data processing and analysis
Database Expertise: Proven experience working with relational databases, specifically Oracle, and connecting applications using JDBC
SQL Mastery: Advanced SQL querying skills for complex data extraction, manipulation, and optimization
Big Data Handling: Experience in working with and processing large datasets efficiently
Data Streaming: Familiarity with data streaming concepts and technologies (e.g., Kafka, Spark Streaming) for processing continuous data flows
Data Analysis Libraries: Proficient in using data analysis libraries such as Pandas for data manipulation and exploration
Software Engineering Principles: Solid understanding of software engineering best practices, including version control (Git), testing, and code review
Problem-Solving: Intuitive problem-solver with a self-starter mindset and the ability to work independently and as part of a team
Education: Bachelor’s degree/University degree or equivalent experience

Nice to have:

Experience in developing and maintaining reusable Python packages or libraries for data engineering tasks
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services
Knowledge of data warehousing concepts and ETL/ELT processes
Experience with CI/CD pipelines for automated deployment

Additional Information:

Job Posted:
February 17, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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