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About the role:
The Data Engineering Engineer 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
What you bring to Takeda:
- 1-3 years of experience applying advanced techniques in data engineering and modeling, capable of handling complex data systems.
- Demonstrates deep understanding of software development methodologies and data structures.
- Expertise in distributed data technologies like Spark or Hadoop, with experience working on Databricks for large-scale data processing.
- Skilled in system integration, ensuring seamless data flow across various platforms.
- Proficient in programming languages such as Python and/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.
What Takeda can offer you:
Competitive salary + Annual performance bonus
Monthly food and meal vouchers
Flexible work arrangements
Comprehensive health insurance plans: life, medical, dental, and vision
Diversity, equity, and inclusion programs
Among other benefits…
More about us:
At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.
Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.
Empowering our people to shine:
Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, or any other characteristic protected by law.
Work Location: Mexico City – Santa Fe.
Hybrid model with a minimum in-office requirement of at least 10 (ten) days per month.
MEX - Santa Fe
Employee
Regular
Full time
