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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
5+ 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, Chefetc.
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
Employee Assistance Program
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.
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