Summary: The Data Engineering Engineer III designs, develops, optimizes, and maintains high-quality data pipelines to drive analytic solutions and enable data-driven decision-making. Highlights: 1. Builds high-quality data pipelines to drive analytic solutions. 2. Applies advanced techniques in data engineering and modeling. 3. Collaborates with cross-functional teams to meet data analytics needs. By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. **Job Description** ------------------- 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. * Experienced in deploying and managing applications on cloud platforms using tools like Kubernetes. * 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. As a solid professional, you receive assignments with objectives and goals, providing guidance to employees based on established policies. Your work is reviewed by management to assess goal achievement and adherence to policies, with opportunities to recommend policy changes within your unit or sub\-unit. You address moderate scope problems, applying judgment within defined procedures and policies, and act as an advisor when needed. Your role involves frequent use of industry practices and general knowledge, ensuring project completion on schedule, primarily liaising internally with subordinates and supervisors, with minimal external contacts and guidance.**Locations** ------------- MEX \- Santa Fe**Worker Type** --------------- Employee**Worker Sub\-Type** -------------------- Regular**Time Type** ------------- Full time