BNY is looking to solve the business and technical problem of governing financial crime compliance processes by designing and implementing a large-scale data architecture, and constructing and maintaining a modern data platform to effectively counteract activities such as money laundering and fraud.
Requirements
- Experience in developing Data warehouses, Data lakes, Data Marts using big data stacks
- Experience in Data analysis, migration, cleansing, transformation and integration using ETL tools
- Experience in developing data pipelines using PySpark, with strong knowledge in big technologies such as Hadoop, Hive and Impala
- Advanced technical expertise in using Snowflake cloud databases and developing pipelines with Snowpark
- Extensive knowledge of orchestration frameworks like Airflow
- Experience in BI report development is an added advantage
- 8-12 years of experience in data engineering and data modeling
Responsibilities
- Designing and implementing large-scale data architecture for governing financial crime compliance processes
- Developing and maintaining data pipelines and integrating data from various sources
- Ensuring data quality, security, and compliance
- Optimize both on-premises and cloud computing resources needed for data processing, storage, performance and scalability
- Construct and maintain a modern data platform that enables the firm to effectively counteract activities such as money laundering and fraud
- Collaborating with stakeholders to meet data requirements
- leading data engineering projects and teams
Other
- Bachelor’s degree in computer science, Engineering or a related disciple or equivalent work experience.
- Domain knowledge in Anti-Money Laundering, Sanctions Screening and Surveillance preferred
- Experience in leading scrum team that works in Onsite/Offshore model
- Does not require sponsorship for employment visa status (including Student Visas) now or in the future, in the country where applying.
- BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.
