Senior Data Engineer

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Job Description

Senior Data Engineer

Job Posting 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.

Objectives/Purpose:

• Collaborate with business stakeholders, data architects, analysts, and product teams to understand data requirements and translate them into scalable data engineering solutions.
• Design, develop, and maintain data pipelines and data integration frameworks to ingest, process, and transform data from multiple enterprise and external sources.
• Build and manage reliable, scalable ETL/ELT pipelines supporting batch and near real-time data processing.
• Develop and maintain data models and curated datasets that support analytics, reporting, and data-driven applications.
• Integrate data across enterprise platforms, operational systems, and external data sources to create unified and trusted datasets.
• Implement data quality checks, validation frameworks, and monitoring mechanisms to ensure accuracy, consistency, and reliability of data.
• Support data governance and metadata management initiatives, ensuring proper data lineage, cataloging, and stewardship.
• Optimize data processing performance and ensure scalability and efficiency of data pipelines.
• Enable data accessibility and self-service analytics by providing well-structured, documented, and governed datasets.
• Implement data security, privacy, and compliance controls aligned with enterprise policies.
• Work closely with Data & Analytics teams to support advanced analytics, machine learning, and operational dashboards.
• Participate in testing, deployment, and operational support of data solutions across development, staging, and production environments.

Education, Behavioral Competencies, and Skills:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.
• 3–7 years of experience in data engineering, data integration, or data platform development.
• Strong experience developing data pipelines and ETL/ELT workflows using modern data engineering tools and frameworks.
• Experience working with SQL and large-scale data processing frameworks.
• Experience with data platforms such as Databricks, Spark, or similar distributed processing systems.
• Experience integrating data from multiple structured and unstructured data sources.
• Experience working with relational and NoSQL databases.
• Familiarity with data lake, Lakehouse or data warehouse architecture.
• Experience implementing data quality validation, monitoring, and data pipeline orchestration.
• Experience working with cloud-based data platforms (AWS, Azure, or GCP).
• Experience using version control systems, CI/CD pipelines, and DevOps practices for data engineering.
• Experience supporting analytics, reporting, and data science teams with curated datasets.
• Strong analytical and problem-solving mindset with attention to data accuracy and quality.
• Ability to collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders.
• Strong communication skills to explain technical data concepts to both technical and non-technical audiences.
• Demonstrated ownership, accountability, and continuous improvement mindset.
• Ability to work in Agile environments and adapt to evolving data requirements.

Preferred Qualifications:

• Experience working with Databricks, Apache Spark, or similar big data processing frameworks.
• Familiarity with data orchestration tools such as Airflow or similar workflow schedulers.
• Experience implementing data governance, data cataloging, and metadata management frameworks.
• Knowledge of data lineage, data quality frameworks, and data observability tools.
• Experience supporting machine learning pipelines and advanced analytics workloads.
• Familiarity with real-time or streaming data platforms (e.g., Kafka or event-driven architecture).
• Exposure to containerization and cloud-native data engineering practices.
• Understanding data security, privacy, and regulatory compliance standards.

WHAT TAKEDA ICC INDIA 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 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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