Data Engineer

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Bengaluru, Karnataka
Hybrid
Internship
Healthtech • Software • Analytics • Biotech • Pharmaceutical • Manufacturing
Takeda exists to create better health for people, brighter future for the world.
The Role

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Job Description
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.
The Opportunity:
The Data Engineer will work directly with architects and product owners on the delivery of data pipelines and platforms for structured and unstructured data as part of a transformational data program. This data program will include an integrated data flow with end-to end control of data, internalization of numerous systems and processes, broad enablement of automation and near-time data access, efficient data review and query, and enablement of disruptive technologies for next-generation trial designs and insight derivation. We are primarily looking for people who love taking complex data and making it easy to use.
As a Data Engineer you will

  • Provide leadership to develop and execute highly complex and large-scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs.
  • Interpret and integrate advanced techniques to ingest structured and unstructured data across complex ecosystem


Delivery & Business Accountabilities

  • Build and maintain technical solutions required for optimal ingestion, transformation, and loading of data from a wide variety of data sources and large, complex data sets with a focus on clinical and operational data
  • Develop data profiling and data quality methodologies and embed them into the processes involved in transforming data across the systems.
  • Manages and influences the data pipeline and analysis approaches, uses different technologies, big data preparations, programming and loading as well as initial exploration in the process of searching and finding data patterns.
  • Uses data science input and requests, translates these from data exploration - large record (billions) and unstructured data sets - to mathematic algorithms and uses various tooling from programming languages to new tools (artificial and machine learning) to find data patterns, build and optimize models.
  • Leads and implements ongoing tests in the search for solutions in data modelling, collects and prepares the training of data, tunes the data, optimizes algorithm implementations to test, scale, and deploy future models.
  • Conducts and facilitates analytical assessment conceptualizing business needs and translates them into analytical opportunities.
  • Leads the development of technical roadmaps and approaches for data analyses to find patterns, to design data models, to scale the model to a managed production environment within the current or a technical landscape to develop.
  • Influences and manages data exploration from analysis to scalable models, works independently and decides quickly on transfers in complex data analysis and modelling.


Skills and Qualifications:

  • Bachelor's degree or higher in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics or information sciences such as business analytics or informatics
  • 3+ years of experience working in data engineering role in an enterprise environment
  • Strong experience with ETL/ELT design and implementations in the context of large, disparate and complex datasets
  • Demonstrated experience with a variety of relational database and data warehousing technology such as AWS Redshift, Athena, RDS, BigQuery
  • Demonstrated experience with big data processing systems and distributed computing technology such as Databricks, Spark, Sagemaker, Kafka, Tidal/Airflow etc.
  • Demonstrated experience with DevOps tools such as GitLab, Terraform, Ansible, Chef etc.
  • Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space
  • Solution-oriented enabler mindset
  • Prior experience with Data Engineering projects and teams at an Enterprise level


Preferred:

  • Understanding or Application of Machine Learning and / or Deep Learning
  • Significant experience in an analytical role in the healthcare industry preferred


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 Bengaluru 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 including annual health screening, weekly health sessions for employees.
  • 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 calendar 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.


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

What the Team is Saying

Christina Alves
The Company
HQ: Cambridge, MA
50,000 Employees
Hybrid Workplace
Year Founded: 1781

What We Do

We strive to transform lives. While the science we advance is constantly evolving, our core purpose is enduring. For more than two centuries, our values have guided us to do what’s right for patients and for society.

We know that changing lives requires us to do things differently. We start by listening to and addressing what really matters to patients, the people who love them, and those in the healthcare system who provide care. And that’s what inspires us all to be bold, push boundaries and set new standards that open up greater opportunities. Join us in our effort to discover, develop and deliver new treatments to patients.

Why Work With Us

We connect to our history and Japanese heritage through everything we do to bring our purpose, values, vision, and imperatives to life. We are committed to bringing better health and a brighter future to patients. Being a part of Takeda means having the opportunity to be a part of something bigger than yourself.

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Employees engage in a combination of remote and on-site work.

Takeda's hybrid policy varies by role. Be sure to ask your recruiter about the requirements for the role that you are applying for.

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