Biolife Plasma Services
From Biolife Plasma Services's careers page
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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 epicentre 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
Role Summary
We are seeking a detail-oriented and process-focused Data Operations Analyst to support the reliable execution and monitoring of ETL pipelines for Keep the Lights On (KTLO) data operations. Key responsibilities include the following established Standard Operating Procedures (SOPs) to ensure the timely and accurate delivery of data feeds refreshed at a daily basis, while also contributing to minor operational enhancements and investigating data-related issues. The ideal candidate should have strong proficiency in SQL and Python, a foundational understanding of AWS S3, and experience with scheduling tools such as Azkaban.
Manage the execution of routine data pipeline workflows, ensuring all ETL process stages are completed successfully.
Conduct thorough data quality validations to ensure accuracy and compliance with defined business logic.
Follow established Standard Operating Procedures (SOPs) to execute daily, weekly, and monthly tasks, leveraging checklist-based validations.
Support minor updates and configuration changes to datasets and pipeline structures.
Investigate and resolve data-related issues in a timely manner.
Maintain comprehensive operational documentation, including execution logs, issue tracking, and version control records.
Monitor service-level agreements (SLAs) for data feed delivery, ensuring compliance with defined timelines.
Track and troubleshoot issues related to model performance and system functionality.
Required Skills & Qualifications
1+ years of experience in data operations roles.
Advanced SQL skills for data querying and validation.
Basic proficiency in Python for data handling, automation, or script-based validations.
Ability to follow structured processes and perform routine quality checks with discipline.
Strong attention to detail and comfort working in checklist or SOP-driven environments.
Strong problem-solving abilities with effective stakeholder management skills.
Excellent communication and collaboration skills for cross-functional teamwork.
Experience with job orchestration and scheduling tools like Azkaban, airflow (or similar platforms), with the ability to quickly adapt to and learn new orchestration tools.
Foundational understanding of cloud-based platforms, such as Databricks.
Exposure to cloud storage services like AWS S3, including basic navigation and file management.
Experience working with ticketing or issue tracking tools (e.g., JIRA, ServiceNow).
Prior involvement in enhancing operational workflows or automating routine quality checks.
B-Tech/ MCA (Computer Sciences background)
If you thrive in a role that blends structured data operations and enjoys enhancing systems scalability and performance, we’d love to hear from you.
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)
IND - Bengaluru
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