Data Analytics Senior Analyst (Python/PySpark Developer)

Citi, a leading global financial services company, is seeking a Data Analytics Senior Analyst with expertise in Python and PySpark development. This role combines technical prowess with strategic business impact, requiring 8-12 years of development experience. The position involves working with large-scale data processing systems, implementing analytics platforms, and developing robust ETL pipelines.

The ideal candidate will be responsible for conducting strategic data analysis, mining data from various banking platforms, and delivering analytics initiatives that drive business optimization. They will lead system changes from requirements through implementation while ensuring compliance with regulatory standards. The role requires expertise in distributed data processing, real-time analytics using PySpark, and experience with Kafka-based messaging systems.

This position offers an opportunity to work with cutting-edge technologies including Hadoop, Hive, HDFS, and Databricks while contributing to one of the world's largest financial institutions. The role combines technical leadership with business impact, requiring strong communication skills to bridge the gap between technical teams and business stakeholders.

Working at Citi's Pune office, you'll be part of a global team that values innovation and technical excellence. The position requires a deep understanding of data analytics, strong programming skills, and the ability to translate complex business requirements into technical solutions. This is an excellent opportunity for a seasoned professional looking to make a significant impact in financial technology while working with enterprise-scale data systems.