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Takeda

Analyst II - Tech Ops & Support

Posted Yesterday
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Hybrid
Bengaluru, Bengaluru Urban, Karnataka
Mid level
Hybrid
Bengaluru, Bengaluru Urban, Karnataka
Mid level
The Analyst II role involves designing and managing data architectures, supporting data scientists, mentoring junior staff, and leading integration of data technologies.
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Job Description
Analyst II - Tech Ops & Support
The Future Begins Here
At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet.
Bengaluru, the city, which is India's epicenter of Innovation, has been selected to be home to Takeda's recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement.
At Takeda's ICC we Unite in Diversity
Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team.
Objectives/Purpose
* Design, develop, optimize, and maintain data architecture and pipelines that adhere to EDB principles and business goals aligned to USBU
* Define data requirements, gather and mine large-scale structured and unstructured data, and validate data using various 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
* Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes
* Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives
* Mentor and coach junior staff on data standards and practices
Skills and qualifications:
* Expert in designing scalable and reliable data architectures, capable of managing complex data integration projects.
* Proficient in SQL and database management, with the ability to optimize and maintain complex databases.
* Skilled in DevOps practices and continuous integration to enhance development workflows and data operations.
* Experienced in software development methodologies, promoting efficient lifecycle management and quality assurance.
* Strong understanding of data structures and algorithms, essential for optimizing data operations.
* Knowledgeable in distributed data technologies like Spark and Hadoop, crucial for handling large-scale data processing.
* Capable of integrating various systems and technologies to build cohesive and functional data environments.
* Proficient in programming languages such as Python, Scala, Java, and C++, used extensively in data engineering tasks.
* Experienced with SQL for complex database tasks, query optimization, and mentoring others in best practices.
* Skilled in cloud platform deployment and tools like Kubernetes, essential for modern data infrastructure setups.
As an expert professional within the organization, you develop innovative solutions to complex problems aligned with organizational objectives. Your work involves addressing intricate issues, requiring in-depth analysis and judgment. You also engage with key contacts outside your expertise area and contribute to the development of new concepts and standards. Operating with considerable autonomy, you serve as a consultant to management and an external spokesperson on major matters, often working independently and leading function teams or projects. Additionally, you play a role in training and mentoring junior staff.
Data Engineering, Data Modeling, DevOps, Software Development, Data Structures, Distributed Data Technologies, System Integration, Programming Languages, SQL, Cloud Platform Deployment
#DataEngineering #DataModeling #DevOps #CloudComputing
What Takeda Can Offer You
  • Takeda is certified as a Top Employer, not only in India, but also globally. No investment we make pays greater dividends than taking good care of our people.
  • At Takeda, you take the lead on building and shaping your own career.
  • Joining the ICC in Bangalore will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth.

Benefits
It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are:
Competitive Salary + Performance Annual Bonus
  • Flexible work environment, including hybrid working
  • Comprehensive Healthcare Insurance Plans for self, spouse, and children
  • Group Term Life Insurance and Group Accident Insurance programs
  • Health & Wellness programs
  • Employee Assistance Program
  • 3 days of leave every year for Voluntary Service in additional to Humanitarian Leaves
  • Broad Variety of learning platforms
  • Diversity, Equity, and Inclusion Programs
  • Reimbursements - Home Internet & Mobile Phone
  • Employee Referral Program
  • Leaves - Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 days)

About ICC in Takeda
  • Takeda is leading a digital revolution. We're not just transforming our company; we're improving the lives of millions of patients who rely on our medicines every day.
  • As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization.

Locations
IND - Bengaluru
Worker Type
Employee
Worker Sub-Type
Regular
Time Type
Full time

Top Skills

C++
DevOps
Hadoop
Java
Kubernetes
Python
Scala
Spark
SQL

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