Hadoop Data Engineer responsible for designing, developing, and maintaining large-scale data processing systems within a distributed Hadoop ecosystem. The role focuses on enabling data-driven decision-making across banking operations, risk management, compliance, and customer analytics.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Hadoop ecosystem tools (HDFS, Hive, Spark, Sqoop, Kafka).
• Build and optimize ETL/ELT processes to support data ingestion from multiple banking systems.
• Develop and manage big data solutions for structured and unstructured data.
• Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions.
• Ensure data quality, integrity, and governance aligned with banking and regulatory standards.
• Perform performance tuning a...