We are seeking a Data Modeler / Big Data Engineer to design scalable data architectures and support the bank’s enterprise data platform, analytics, and digital transformation initiatives.

Key Responsibilities

• Design and maintain enterprise data models for banking data domains.
• Develop and manage Data Lake and Big Data environments.
• Build scalable data solutions using Cloudera and Hadoop ecosystems.
• Implement and manage Apache Iceberg tables and data architectures.
• Support data governance, metadata management, and data quality initiatives.
• Collaborate with data engineering, analytics, and business teams.
• Optimize data performance and scalability.

Requirements

• 5+ years of experience in data modeling and big data engineering.
• Strong knowledge of Cloudera Data Platform (CDP).
• Experience with Hadoop ecosystem technologies (Hive, HDFS, Spark, Impala).
• Hands-on experience with Data Lakes and Apache Iceberg.
• Strong SQL and data modeling skills.
• Experience with enterprise data architecture and governance frameworks.

Preferred Qualifications

• Banking or Financial Services experience.
• Experience supporting enterprise data warehouse modernization initiatives.
• Knowledge of cloud-based data platforms and modern lakehouse architectures.