We are seeking a highly skilled and motivated Senior Data Engineer to design, develop, and optimize scalable data platforms and pipelines within the banking and financial services domain. The ideal candidate will have strong expertise in Python, SQL, big data technologies, and cloud-based data ecosystems. You will be responsible for building robust, secure, and scalable data solutions that support regulatory reporting, risk management, customer analytics, and business intelligence initiatives.

• Design, develop, and maintain scalable ETL/ELT pipelines for processing large volumes of banking and financial data.
• Build and optimize data workflows using Apache Spark and Apache Airflow.
• Design and implement Data Warehouse and Data Lake architectures to support enterprise banking analytics and reporting requirements.
• Develop and maintain high-performance data models for transactional, customer, risk, and regulatory data.
• Collaborate with business stakeholders, data analysts, risk teams, and compliance teams to deliver data-driven solutions.
• Ensure data quality, governance, security, and regulatory compliance across data platforms.
• Implement monitoring, troubleshooting, and performance tuning for data pipelines and processing frameworks.
• Leverage cloud platforms or Cloudera ecosystem technologies to build and manage modern data infrastructure.
• Drive CI/CD implementation and DataOps best practices to improve deployment efficiency and operational reliability.
• Support regulatory reporting, audit requirements, and data lineage initiatives.
• Mentor junior engineers and contribute to technical architecture and best practices.