Job Summary:

As a Data Engineer in the AMC Tech team, you will be responsible for designing, building, and maintaining the data infrastructure that supports our data platform, with a strong focus on fund management business logic, engineering delivery, and platform-level development. You will collaborate closely with business and technology stakeholders to ensure that our data systems are robust, scalable, and aligned with business goals.

Job Responsibilities:

• Responsible for the project management and development of the core modules of the company's data platform;
• Promote the company's financial technology work, keep up with the development of Fin-tech, continuously absorb and introduce new technology systems, empower business, and improve the company's competitiveness
• Formulate technical routes and overall framework to quickly break through technical difficulties encountered during the development process
• Communicate with business users on demand and complete demand analysis, system design, coding development and project management;
• Responsible for continuously tracking the progress of the project, clearly understanding and submitting the results of each stage, identifying the risks in the project, evaluating and eliminating risks, and ensuring the quality of the project;
• Assist in the development of system specifications, and be responsible for checking suppliers and self-developed codes in accordance with the specifications.

Required qualifications, capabilities, and skills:

• Full-time bachelor degree or above in computer-related majors, with 3 years of data engineering experience and independent complete project development experience.
• Proven experience in designing and developing data API interfaces.
• Expert-level proficiency in SQL, with extensive experience in relational databases (e.g., Oracle) and MPP data warehouses.
• Strong hands-on experience with big data technologies, including Apache Spark, Hadoop, for distributed data processing.
• Experience in real-time or streaming data processing using tools such as Kafka, Flink.
• Experience in designing and optimizing ETL/ELT workflows and data pipelines.
• Solid understanding of data modeling principles and data architecture patterns.
• Deep knowledge of fund management business logic and related data domains.

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

ABOUT THE TEAM

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.