VP, Data Engineer, Data Platform, Group Technology

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Description

Business Function Group Technology enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group Technology, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels. Key Responsibilities Design, develop, and implement scalable, distributed, and high-performance data services for data ingestion, transformation, computation, and orchestration. Build and maintain enterprise-grade Big Data applications using Apache Spark (Batch & Streaming), Spring Boot, and Kafka. Develop cloud-native and on-premises solutions leveraging Kubernetes (K8S) platforms for containerized deployments and workload orchestration. Design and implement robust microservices and RESTful APIs using Java and Python. Develop and optimize Spark jobs to ensure high performance, scalability, reliability, and efficient resource utilization. Establish and enforce best practices, coding standards, and performance tuning guidelines for Apache Spark applications. Translate functional and non-functional requirements into scalable technical solutions. Work with modern data lake technologies, including Apache Iceberg and S3-based storage , to support enterprise data platforms. Collaborate with cross-functional and cross-regional teams to deliver strategic data engineering initiatives. Implement and support CI/CD pipelines using tools such as Jenkins, Git, and Bitbucket. Ensure operational stability, production support readiness, monitoring, and continuous improvement of data platform services. Drive innovation through the adoption of Generative AI technologies , integrating GenAI capabilities into applications and developing AI-powered agents where appropriate. Actively participate in Agile delivery practices and contribute to engineering

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