We look for people who are passionate around solving business problems through innovation & engineering practices. You will be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals.
J.P. Morgan Asset Management is a global institution that prides itself in the power of scale – offering first class financial products and services to its clients (and its clients’ clients) across the spectrum of client needs.
The Business Intelligence and Analytics team’s mission is to leverage large datasets to power cutting-edge applications and analytical capabilities within the Asset Management Distribution Business. As a Data Engineer, you will evolve at the intersection of business analytics, data warehousing and software engineering, and will be responsible for building the foundational data layer critical to the Business Intelligence and Analytics platform success.
Responsibilities
- Work with multiple business teams to fully understand business requirements and translate them into data structures.
- Build and maintain conceptual/logical/physical data models.
- Provide architectural expertise in Data warehouse engineering, data modeling, database design, operational flexibility and user self-service capabilities. Help shape the vision of long-term, scalable solution.
- Build large-scale batch, ETL and real-time data pipelines using cloud and on-premises data technologies, such as Redshift, Python, Spark, PySpark, and Apache Kafka
- Design best practices for data processing, data modeling and warehouse development throughout our team and group
- Develop strategy to provide proactive solutions and enable stakeholders to extract insights and value from data
- Understand end to end data interactions and dependencies across complex data pipelines and data transformation and how they impact business decisions.
Qualifications
Preferred qualifications
- Hands-on experience building a data warehouse and data pipelines using Python or Java
