Job Description

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Responsibilities：

• Utilize platforms like MySQL, MS SQL, AWS (S3, Redshift etc.), & Informatica for data processing and storage solutions.
• Design scalable and robust data architectures aligned with business needs.
• Collaborate with development team and cross-functional stakeholders to ensure the seamless integration of data systems.
• Monitor and optimize system and database performance, reliability, and cost-effectiveness. Provide expertise and support for database-related incidents and service requests
• Conduct regular audits to ensure database compliance with organizational standards and regulatory requirements
• Plan and manage database upgrades, migrations, and patching activities
• Optimize database performance through tuning and query optimization
• 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 software development 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.

Skills and Qualifications：

• Bachelor’s Degree from an accredited institution in Engineering, Computer Science, or a related field.
• 4 + years of experience in data engineering, software development, data warehousing, data management, with a strong understanding of technologies like MYSQL, MS SQL, AWS (S3, Redshift etc.), and Informatica.
• Strong expertise in Proficiency in PL/SQL scripting and database programming, 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

Locations

CHN – Chengdu - Commercial

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time