Data Engineer for Data & Analytics

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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

About the role:

As a Data Engineer, you will play an important role in supporting the design and implementation of data infrastructure and flow systems at Takeda. We are seeking an innovative and excited individual to aid in data collection and processing, allowing all business stakeholders to have access to data insights. In your role, you will collaborate closely with Data Engineer team members to help develop and maintain a robust data infrastructure, streamlining informed decision-making within Takeda. Your contributions will be integral to enhancing Takeda’s dashboards and reporting, providing actionable insights to stakeholders throughout the business.

In this role, you will be a part of ICC PDT Digital Analytics team. This team drives business insights to analyse and interpret the organization’s data with the purpose of drawing conclusions about information and trends. This role will work closely with the Senior Data Engineers on executing complex tasks. This role will also align to the Data & Analytics chapter of the ICC as a competency.

This position will report to the Data Engineer lead for direction and Day-to-day management.

How you will contribute:

• Support the development and maintenance of data architecture and pipelines.
• Support the standardization, customization, and ad hoc data analysis by developing mechanisms that analyze and clean data.
• Utilize AWS technologies to build new integrations for increased data source, volume, and complexity.
• Outline data requirements for gathering and mining large-scale data.
• Support the implementation processes that drive data reconciliation and quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes.
• Participate in the evaluation, implementation, and deployment of emerging tools for analytic data engineering to improve productivity.
• Coordinate with Senior Data Engineers to write unit, integration, and performance test scripts that perform data analysis.
• Support Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives.
• Collaborate with Senior Data Engineers and Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling.

Minimum Requirements/Qualifications:

• Bachelor’s Degree in Engineering, Computer Science, Data Science, or related field.
• 3-5 year of experience in software development, data science, data engineering, ETL, and analytics reporting development
• Knowledge of designing, building, implementing, and maintaining data and system integrations, understand software being leveraged
• Demonstrated understanding and experience using:
  • Data Engineering Programming Languages (i.e., Python, SQL)
  • Distributed Data Framework (e.g., Spark)
  • Cloud platform services (AWS/ Azure preferred)
  • Relational Databases (Postgres/ SQL server)
  • DevOps and continuous integration
  • AWS knowledge on services like Lambda, DMS, Step Functions, S3, Event Bridge, Cloud Watch, Aurora RDS or related AWS ETL services
  • Knowledge of Data lakes, Data warehouses
  • Databricks/Delta Lakehouse architecture
  • Code management platforms like Github/ Gitlab/ etc.,
  • Job orchestration tools like Tidal/ Airflow
• Understanding of database architecture and administration
• Knowledge of the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases
• Proficient written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners
• Willingness to learn and collaborate with Senior and Mid-Level Data Engineers
• Strong problem solving and attention to detail skills
• Ability to work in a fast-paced environment

Preferred skillsets

• Experience working in a global environment
• Ability to support Senior Data Engineers in designing and implementing complex data solutions
• Demonstrated understanding and experience using:
  • Knowledge in CDK
  • Experience in IICS Data Integration tool
  • Job orchestration tools like Tidal/Airflow/ or similar 
  • Knowledge on No SQL
• Proficiency in leveraging the Databricks Unity Catalog for effective data governance and implementing robust access control mechanisms is highly advantageous.
• Databricks Certified Data Engineer Associate and/or AWS Certified Data Engineer

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.

#Li-Hybrid

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