Assistant Vice President – [BZ9210102]

Deutsche Bank•New York, NY

22d•$150,000 - $165,000

About The Position

DB USA Core Corporation seeks an Assistant Vice President in New York, NY to drive the overall implementation of security cloud architecture in the Compliance division. Requires a Master’s degree in Information Technology or related field or equivalent and three (3) years of experience analyzing and performing iterative development of applications using Agile methodology; developing applications using Spring and Web Services (RESTFUL); developing and configuring Spring Controllers using annotations to handle presentation requests and integrating them with services and DAO; developing SSIS scripts to migrate production data to SQL server; implementing Business Logic using Java, OOPs concepts, Multi-threading, Java Concurrency, Spring (Core), Spring MVC, Spring Boot, Spring Batch, JavaScript (Angular, jQuery), JDBC and Hibernate; utilizing Apache Spark on GCP Dataproc to process large-scale datasets and perform real-time analytics; designing and orchestrating ETL workflows using Apache Airflow via Cloud Composer for automated data pipelines; implementing real-time data ingestion pipelines using Apache Kafka integrated with Google Cloud Pub/Sub and Dataflow; developing data transformation queries using Apache Hive and Presto on Dataproc and BigQuery; utilizing Apache NiFi to automate data flows between on-premises systems and GCP services including Cloud Storage and BigQuery; managing high-throughput, low-latency NoSQL workloads using Apache HBase and GCP Bigtable; and designing data lake architectures combining Hadoop HDFS and Google Cloud Storage to support both batch and streaming data use cases. Salary range: $150,000 – $165,000/year. This position is eligible for Deutsche Bank's Employee Referral Incentive Program. We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Click these links to view Deutsche Bank’s Equal Opportunity Policy Statement and the following notices: EEOC Know Your Rights; Employee Rights and Responsibilities under the Family and Medical Leave Act; and Employee Polygraph Protection Act. For over 150 years, our dedication to being the Global Hausbank for our clients has been driven by our people – in around 60 countries and across more than 150 nationalities. Their deep understanding, insights, expertise, and passion help our clients navigate an increasingly complex world – be it in our Corporate Bank, our Private Bank, our Investment Bank or our Asset Management (DWS) division. Together we can make a great impact for our clients at home and abroad, securing their lasting success and financial security. More information at: Deutsche Bank Careers (db.com)

Requirements

Master’s degree in Information Technology or related field or equivalent
three (3) years of experience analyzing and performing iterative development of applications using Agile methodology
developing applications using Spring and Web Services (RESTFUL)
developing and configuring Spring Controllers using annotations to handle presentation requests and integrating them with services and DAO
developing SSIS scripts to migrate production data to SQL server
implementing Business Logic using Java, OOPs concepts, Multi-threading, Java Concurrency, Spring (Core), Spring MVC, Spring Boot, Spring Batch, JavaScript (Angular, jQuery), JDBC and Hibernate
utilizing Apache Spark on GCP Dataproc to process large-scale datasets and perform real-time analytics
designing and orchestrating ETL workflows using Apache Airflow via Cloud Composer for automated data pipelines
implementing real-time data ingestion pipelines using Apache Kafka integrated with Google Cloud Pub/Sub and Dataflow
developing data transformation queries using Apache Hive and Presto on Dataproc and BigQuery
utilizing Apache NiFi to automate data flows between on-premises systems and GCP services including Cloud Storage and BigQuery
managing high-throughput, low-latency NoSQL workloads using Apache HBase and GCP Bigtable
designing data lake architectures combining Hadoop HDFS and Google Cloud Storage to support both batch and streaming data use cases