About the role:
The Data Engineering Engineer III works closely with a multidisciplinary Agile team to build high-quality data pipelines that drive analytic solutions.
This role enables advanced data-driven decision-making capabilities by generating insights from connected data, contributing to Takeda's mission.
How you will contribute:
- Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
- Define data requirements, gather and mine large-scale structured and unstructured data, and validate data using various data tools in the Big Data Environment
- Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value
- Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve productivity
- Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives
- Collaborate with AI/ML Engineers to create data products for analytics and data scientist team members to improve their productivity
- Advise, consult, mentor, and coach other data and analytic professionals on data standards and practices
Skills and qualifications:




- Applies advanced techniques in data engineering and modeling, capable of handling complex data systems.
- Proficient in DevOps practices and continuous integration to enhance system reliability and deployment efficiency.
- Demonstrates deep understanding of software development methodologies and data structures.
- Expertise in distributed data technologies like Spark or Hadoop, optimizing large scale data processing.
- Skilled in system integration, ensuring seamless data flow across various platforms.
- Proficient in programming languages such as Python, Scala, Java, or C++, tailored for large-scale data handling.
- Advanced SQL skills, capable of crafting complex queries and managing databases efficiently.
- Develops and maintains data pipelines with high standards of data integrity and accuracy.
- Engages in problem-solving to optimize data storage and retrieval processes.
- Collaborates effectively with cross-functional teams to meet data analytics needs.
- Guides and trains team members in the latest data engineering techniques and tools.
**Locations**: MEX - Santa Fe
**Worker Type**: Employee
**Worker Sub-Type**: Regular
**Time Type**: Full time

📌 Data Engineer Professional I (Xico)
🏢 Takeda Pharmaceutical
📍 Xico