**Roles and Responsibilities** * Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark. * Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud. * Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow. * Implement data security and compliance measures to protect data privacy and ensure regulatory compliance. * Collaborate with data scientists and analysts to understand their data needs and provide them with access to the required data. * Stay up-to-date on the latest developments in cloud-based data engineering, particularly in the context of Azure, AWS and GCP, and proactively bring new ideas and technologies to the team. * Monitor and optimize the performance of data pipelines and systems, identifying and resolving any issues or bottlenecks that may arise. **Qualifications** * Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. * Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based data infrastructure. * Proficient programming skills in Python, Java, or a similar language, with an emphasis on Python. * Extensive experience with cloud-based data storage and processing technologies, particularly Azure, AWS and GCP. * Familiarity with ETL/ELT tools and frameworks such as Apache Beam, Apache Spark, or Apache Flink. * Knowledge of data modeling principles and experience working with SQL databases. * Strong problem-solving skills and the ability to troubleshoot and resolve issues efficiently. * Excellent communication and collaboration skills to work effectively with cross-functional teams.

Shopee's Operations team manages the end-to-end logistics process, ensuring a seamless experience from product listing to final delivery. This role focuses on Middle Mile Line Haul operations, overseeing the critical transportation and distribution network that connects regional hubs. You will lead a team responsible for optimizing traffic flow, yard management, and overall operational efficiency within SPX facilities. The position requires a strategic leader who can drive performance improvements in speed, capacity, and cost while maintaining strict safety and compliance standards. As a Lead Line Haul Manager, you will be the primary driver for daily logistics execution and strategic planning. You will recruit, train, and mentor staff including control tower and ground teams to ensure high performance. The role involves close collaboration with cross-functional departments to integrate processes and resolve operational bottlenecks. You will also be responsible for enforcing policies, conducting root cause analysis on performance fluctuations, and identifying opportunities for continuous process improvement and cost reduction.

Lead the mechanical design of high-speed sortation machines and conveyor systems to meet operational throughput and safety standards. Review technical drawings and specifications while acting as the primary technical contact for external vendors. Prepare detailed technical specifications for RFPs and oversee Factory Acceptance Testing to ensure machinery performance benchmarks are met. Drive project schedules from inception to handover, supervising on-site installation and leading Test & Commissioning phases to resolve mechanical bottlenecks. Maintain rigorous documentation including design version control, O&M manuals, and commissioning reports to ensure compliance with local engineering codes and corporate standards.