亚马逊Data Engineer II, ROW AOP

1. Design, develop, and maintain scalable data pipelines to support ML model development and production deployment. 2. Implement and maintain CI/CD pipelines for the data and ML solutions. 3. Collaborate with data scientists and other team members to understand data requirements and implement efficient data processing solutions. 4. Create and manage data warehouses and data lakes, ensuring proper data governance and security measures are in place. 5. Collaborate with product managers and business stakeholders to understand data needs and translate them into technical requirements. 6. Stay current with emerging technologies and best practices in data engineering, and propose innovative solutions to improve data infrastructure and processes for ML models and analytics applications. 7. Participate in code reviews and contribute to the development of best practices for data engineering within the team.

We are seeking a skilled and motivated Senior Power System Engineer to join our team. This position is created to enhance our knowledge in New Electrical Distribution. The candidate will interact with multiple teams in different Business units and expertise teams with high level of expertise and knowledge in power systems and electrical distribution design. He or she will lead and drive the innovation and technical work package within the organization regarding the new energy landscape and new challenges in electrical distribution from protection to control, safety and standards. What will you do? You will work on complex problems where analysis of situations or data requires an in-depth evaluation of various factors. You drive and manage the studies and investigations within the streams and projects with a global mandate.

1) Strong interpersonal skills is a must. The position requires closely working with eCADs, Mechanical CADs, software, certification, Industrialization, validation, internal Schneider Plant as well as outside vendors (EMS plant etc.). 2) Digital/Analogue embedded system design capability. Mandatory: - Familiar with Mentor or Cadence tools. - Experience with high speed embedded hardware system design. - Experience with analogue signal chain design, data acquisition design. - Familiar with solving EMC/EMI related issue. - Experience with Blank PCB/PCBA manufacture. - Strong lab skills with hands on soldering components, operating oscilloscopes, logic analyzers, signal generators etc. Optional: - Experience with power supply design is a plus. - Be a main designer in one or more project is a plus. - Familiar with uboot/Linux Porting based on POWER PC or SOC is a plus. - Deep knowledge of complex processor embedded system design is a plus. - Familiar with Design of Current/Votage Transformer is a plus 3) FPGA design capability Mandatory: - RTL(Register Transfer Level) design, familiar with ISE, Quartus, Modelsim tools; - Test bench development and design simulation; Optional: - Experience with System on chip (SOC) and NIOS II design is a plus. 4) Must be a self-motivated team player with good oral and written English communication skills, and strong sense of ownership. 5) BS, MS(Preferred) in Electrical Engineering, at least 3 years for dedicated hardware development, board bring-up experience.

Design and build cloud-based data warehouses to deliver efficient analytical and reporting capabilities for Apple’s global and regional sales and finance teams. Develop highly scalable data pipelines to ingest and process data from multiple source systems, leveraging Apache Airflow for workflow orchestration, scheduling, and monitoring. Architect generic, reusable solutions that enforce to data warehousing best practices while addressing complex business requirements. Analyze and optimize existing systems, providing improvements and ongoing support as needed. Uphold the highest standards of data integrity and software quality, ensuring reliable and accurate outputs. We are looking for a proactive self-starter who takes initiative, learns fast, and works well across teams. Join our growing team where no two days are the same - solving tough technical challenges and business problems in a fast-paced environment.