Description

Design and maintain scalable data processing systems for banking and capital markets. You will own the development of ETL pipelines and analytical solutions using the Hadoop ecosystem.

This role is on-site.

Responsibilities

• Build and optimize large-scale data processing jobs using Apache Spark and Scala.
• Develop complex SQL queries and Hive scripts for data extraction, transformation, and loading.
• Manage and maintain Hadoop cluster infrastructure and distributed storage systems.
• Collaborate with stakeholders to translate business requirements into technical data solutions.
• Ensure data integrity and performance across capital markets reporting workflows.

Required Skills

• 5+ years of hands-on experience with Apache Spark and Scala.
• Strong proficiency in Hive and advanced SQL query optimization.
• Proven experience working with Hadoop ecosystem components.
• Domain expertise in Banking or Capital Markets data structures.
• Strong verbal and written communication skills for cross-functional collaboration.
• Bachelor’s degree in Computer Science, Engineering, or related field.

Key Skills

Education

Any Gradute