Principal Data Engineer

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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.

As a Principal Data Engineer you will Provide leadership and technical expertise to the analysis, definition, design and delivery of large, structured or unstructured data across different domains. You will prototype, maintain and create data-sets and data architectures.

Responsibilities

• Manages and influences technical analysis, design, development maintenance and configuration of complex and non-routine data and leads the analysis, definition and design of data and the data architectures, including within R&D.
• Uses specialized in-depth knowledge of advanced data stores and analysis technologies, consults with data specialists and researchers to define datasets, analyze those within team priorities to support research and finding signals for targets. 
• Contributes to and takes responsibility for creating future state roadmaps for complex data architectures, data explorations, data analyzes and data modelling within a complex Biology, Omics, Chemistry, Competitive Intelligence, Statistical and other relevant domains.
• Makes recommendations for data architectures, data analyzing methodologies and technology by using deep understanding of data industry trends, data analyzing possibilities, data roadmaps and strategic data plans.
• Guides decisions with projects and other IT groups by using persuasion and negotiation skills to reach agreement on approach and implementation.
• Oversees the impact of Medical and Biological data/datasets requests to support different research and leads data investigations.
• Leads a team of data engineers to support Life Science Research Data Initiatives, choosing the appropriate technologies and developing advanced architectures for the largest data problems, including for R&D
• Demonstrates advanced tooling and techniques to other engineers and traditional analytics organizations throughout the company
• Represent the team while working on project across domains and commercial. Is internal and external expert to-go-to in how to drive advanced Computer Science and Engineering skills and techniques
• Provides expertise to data engineers and peers and specialists, to support research

Skills and Qualifications

Required

• More than 10+ years experience in Data and Analytics domain
• AWS overview – solid knowledge about AWS ecosystem, experience with Lambda, S3, AWS notification systems, AWS SDKs , Athena , Redshift
• Expert Data engineering experience – building scalable and performant ETL data pipelines by using of Spark, experience with data extraction/ingestion from relational databases as well as flat files and by pulling via API, data transformation and cleaning
• Spark job orchestration through Airflow
• Experience with pub-sub streaming and messaging - messaging queue systems, e.g. AWS SQS
• Strong Scala programming skills
• Solid bash scripting skills
• Adequate knowledge of Agile processes, CI/CD tools and setup including automated unit testing, code linting, quality tools

Preferred skills:

• Experience with leading a technical team as senior engineer – guidance and reviews, communication with other technical team.
• Experience with Databricks and its functionalities (Autoloader, APIs, scheduler) and Glue,
• Broader AWS knowledge, mostly in data and ML/DL area, e.g. Amazon Sagemaker, AWS RDS, AWS Step Functions
• Python skills
• Knowledge of GxP processes and documentation.

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