AIGC Algorithm Engineer, DD&T, Chengdu

• Develop and maintain scalable data pipelines, and build new integrations using AWS native technologies to support increasing data sources, volumes, and complexity.
• Collaborate with analytics and business teams to improve data models that enhance business intelligence tools and dashboards, fostering data-driven decision-making across the organization.
• Implement processes and systems to ensure data reconciliation, monitor data quality, and ensure production data is accurate and available for key stakeholders, downstream systems, and business processes.
• Write unit, integration, and performance test scripts, contribute to engineering documentation, and maintain the engineering wiki.
• Perform data analysis to troubleshoot and resolve data-related issues.
• Work closely with frontend and backend engineers, product managers, and analysts to deliver integrated data solutions.
• Collaborate with enterprise teams, including Enterprise Architecture, Security, and Enterprise Data Backbone Engineering, to design and develop data integration patterns and models supporting various analytics use cases.
• Partner with DevOps and the Cloud Center of Excellence to deploy data pipeline solutions in Takeda AWS environments, meeting security and performance standards.
• Mentor and guide more junior team members, providing technical support and fostering a culture of continuous learning and improvement.

• Bachelor’s Degree from an accredited institution in Engineering, Computer Science, or a related field.
• 5-7 years of experience in data engineering, software development, data warehousing, data lakes, and analytics reporting.
• Strong expertise in data integration, data modeling, and modern database technologies (Graph, SQL, No-SQL) and AWS cloud technologies (e.g., DMS, Lambda, Databricks, SQS, Step Functions, Data Streaming, and Visualization).
• Extensive experience in DBA, schema design & dimensional modeling, and SQL optimization.
• Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams.
• Understanding of good engineering practices (DevSecOps, source-code versioning).
• Fluency in English

• Experience with streaming technologies like Spark Streaming or Kafka
• Infrastructure as Code (IaC) experience, preferably with Terraform.
• Experience designing and developing API data integrations using SOAP / REST.

Takeda