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This role focuses on developing and executing strategies to enhance customer engagement and drive business growth within the AIA Thailand ecosystem. You will collaborate closely with cross-functional teams to identify market opportunities and optimize customer journey experiences. The position requires a proactive approach to analyzing customer data and translating insights into actionable business plans that support organizational objectives. You will also be responsible for maintaining strong relationships with key stakeholders to ensure alignment with company goals. The ideal candidate will play a pivotal role in shaping the future of customer-centric initiatives by leveraging market intelligence and competitive analysis. You will lead projects that improve service delivery and operational efficiency while identifying new revenue streams. This position offers a dynamic environment where strategic thinking and execution skills are highly valued to achieve measurable business impact.

The Hardware Operations team manages the physical infrastructure that powers Google's search technology and AI services. As a Data Center Operations Manager, you will lead a team of technicians responsible for the installation, configuration, and maintenance of server hardware and network components. You will oversee complex installations and troubleshooting while ensuring the reliability and efficiency of our global data center operations. This role requires managing day-to-day operations, leading project teams, and developing contingency plans to support Google's massive scale infrastructure. You will partner with various stakeholders to implement facility strategies and maintain security and operational procedures. The team focuses on delivering unparalleled computing power and AI capabilities to global users. This position involves working with cutting-edge technologies including Linux clusters, network protocols, and large-scale hardware infrastructure. You will model teamwork and positive site culture while ensuring all operations align with organizational goals and safety standards.

This role focuses on establishing and maintaining high-quality standards for Thai language localization within a digital content environment. You will be responsible for reviewing translations to ensure linguistic accuracy, nuance, and natural expression, while also managing language assets and documentation. The position involves collaborating with cross-functional teams to optimize localization workflows and identifying recurring quality issues to implement practical improvements. You will serve as a key resource for defining style guides and glossaries to support consistent output across the organization. The ideal candidate will leverage their expertise in linguistics and translation to assess content quality and convert findings into clear, actionable standards. You will work in a diverse and inclusive environment at LINE Thailand, contributing to products that connect communities. The role requires a high level of attention to detail and the ability to handle repetitive quality review tasks efficiently while maintaining accuracy.

This role focuses on bridging the gap between business needs and technical solutions. You will analyze complex business requirements and translate them into clear functional specifications and technical designs. The position involves close collaboration with cross-functional teams, including developers, QA, and stakeholders, to ensure the successful delivery of high-quality software solutions. You will also play a key role in system integration testing, defect analysis, and driving continuous improvement within the development lifecycle. The ideal candidate will leverage AI tools to enhance analysis and documentation efficiency while maintaining strict adherence to security and privacy standards. You will provide hands-on technical guidance during testing and post-launch phases, ensuring that all integration specifications are accurate and that engineering delivery aligns with architectural intent. This role requires a proactive approach to problem-solving and a strong commitment to delivering value through efficient and secure system implementations.

The Tactical Seller Program Team drives initiatives to boost company performance, focusing on sales value and investment growth. You will lead the end-to-end management of Tactical Initiatives & Packages, managing the full lifecycle from design and budgeting to operational governance and result optimization. This role requires identifying opportunities, designing targeted seller packages, and ensuring consistent execution through standard operating procedures. You will oversee the setup, launch, and execution of initiatives while providing operational support to internal teams. The position involves monitoring key performance indicators to assess effectiveness and making data-driven recommendations for continuous improvement. Success in this role requires a blend of strategic planning and hands-on operational management to drive growth.

**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.