Asset Management - Data Engineer, Investment at JPMC Candidate Experience page

Shanghai, Shanghai, China -

Full Time

Start Date

Immediate

Expiry Date

19 Jan, 26

Salary

0.0

Posted On

21 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Relational Databases, MPP Data Warehouses, Big Data Technologies, Spark, Hadoop, Real-Time Processing, Streaming Data Processing, Kafka, Flink, ETL Workflows, Data Pipelines, Data Modeling, Data Architecture, Investment Business, Data Domains

Industry

Financial Services

Description

As a Data Engineer in the AMC Tech team, you will be responsible for the uplifting of the investment data platform. You will ensure the data is accessible, reliable, and integrated to support advanced analytics and business intelligence across the investment process. Job Responsibilities: Responsible for the project management and development of the core modules of the company's investment 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. Expert-level skills in SQL and experience with relational databases (e.g., Oracle) and MPP data warehouses. Solid experience with big data technologies (e.g., Spark, Hadoop) for distributed data processing. Experience in real-time/streaming data processing (e.g., Kafka, Flink). Experience in designing and optimizing ETL/ELT workflows and data pipelines. Strong understanding of data modeling principles and data architecture patterns. Have a deep understanding of the fund industry's investment related business, and related data domains.

Responsibilities

The Data Engineer will manage the development of the investment data platform and ensure data accessibility and reliability. They will also communicate with business users to analyze demands and manage project risks.