About this role
At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We are looking for a Data Engineer who is passionate about building robust, scalable, and efficient data solutions. The ideal candidate will have strong expertise in ETL development, Snowflake, and modern cloud-based data platforms, along with understanding in Power BI for analytics and reporting. This role demands a solid understanding of data engineering principles, ETL concepts, and financial domain knowledge. As an individual contributor, you will be responsible for designing and implementing end-to-end data pipelines, ensuring data quality, and enabling actionable insights for business stakeholders. Strong communication skills, a proactive mindset, and the ability to work independently in a dynamic environment are essential. Key Responsibilities
• Design, develop, and maintain data pipelines and ETL workflows for ingestion, transformation, and integration. • Build and optimize solutions on Snowflake and other cloud data platforms. • Leverage ETL tools such as Informatica, Pentaho, or Azure Data Factory (ADF) to deliver scalable data solutions. • Implement best practices for data modeling, performance tuning, and data governance. • Develop and manage Power BI dashboards and reports to support business intelligence initiatives. • Collaborate with cross-functional teams to understand requirements and deliver technical solutions aligned with business goals. • Ensure compliance with security and regulatory standards for financial data. • Drive projects independently, managing timelines and quality expectations. Required Skills & Qualifications
• Proven experience as a Data Engineer with strong knowledge of ETL concepts, data warehousing, and data architecture. • Experience with Python and SQL for automation and advanced data processing. • Knowledge of CI/CD pipelines, DevOps, and data orchestration frameworks. • Hands-on experience with Snowflake and at least one ETL tool (Informatica, Pentaho, or ADF). • Familiarity with cloud database technologies and modern data engineering practices. • Understanding of Power BI and BI platform infrastructure. • Strong understanding of financial domain concepts. • Excellent problem-solving, communication, and interpersonal skills. Self-driven, motivated, and capable of delivering high-quality solutions independently.