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Data Engineering Professional I

India, Karnataka, Bengaluru

1 week ago

Applicants: 0

Salary Not Disclosed

2 weeks left to apply

Job Description

By clicking the ?Apply? button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda?s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description: Data Engineering Professional: 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 needs of patients, our people, and the planet. Bengaluru: has been selected to be home to Takeda?s recently launched Innovation Capability Center thanks to its international recognition in qualified and experienced talent in the data, digital, and technology fields. 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 the 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: As a Data Engineer: , you will support data operations and ETL workflows, ensuring robust data pipelines and reliable analytics environments. You will work closely with cross-functional teams to maintain data quality, troubleshoot issues, and enable data-driven decision-making across the organization. Responsibilities: Support and maintain Databricks: as both an ETL platform and analytical database environment. Review Spark job logs: , monitor clusters, troubleshoot job failures, and validate Delta Lake tables: . Manage Databricks Jobs, Workflows, and notebooks: for production and development environments. Perform ETL operations using Informatica BDM: and/or IICS: , including workflow monitoring, troubleshooting failures, and managing dependencies. Utilize Apache Airflow & Tidal: for scheduling and orchestration, including DAG monitoring, reruns, and pipeline dependency checks. Conduct data validation and debugging using SQL: and Python: . Work with cloud storage and compute platforms (e.g., AWS S3: or similar data lake environments). Validate dashboards and troubleshoot refresh issues in Tableau: , supporting functional users. Document incidents, perform Root Cause Analysis (RCA): , and communicate impact and resolution to business stakeholders. Ensure SLA-driven operations and maintain high standards of data reliability. Skills and Qualifications: Education: Bachelor?s Degree in Computer Science, Engineering, or related field. Experience: 4+ years in Data Operations, ETL Operations, Production Support, or DataOps roles. Hands-on experience with Databricks: , including Spark job monitoring and Delta Lake validation. Strong experience in Informatica BDM: and/or IICS: for ETL operations. Proficiency in Apache Airflow: for workflow orchestration. Solid knowledge of SQL: and Python: for data validation and troubleshooting. Familiarity with AWS S3: or similar cloud data lake environments. Basic experience with Tableau: for dashboard validation and issue resolution. Understanding of pharma commercial data domains (Sales, CRM, IQVIA deliverables, Patient Services, or MDM) is a plus. Strong incident management skills, including RCA documentation and business communication. Preferred Qualifications: Experience with pharma commercial data: and regulatory compliance environments. Familiarity with data governance frameworks: and metadata management. Exposure to DevOps practices: and CI/CD pipelines for data workflows. Knowledge of data security best practices: in cloud environments. 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 Shift Timing 3 00 PM ? 12 00 AM IST Company-Provided Transport Available at scheduled times for 2nd shift employees for a smooth commute to office and back home Security Escort for Drop-Off Female employees receive a security escort to their designated drop-off point after the shift for safety Shift Allowance Additional shift allowance will be provided for hours worked outside regular working hours Food/Meal Meal will be provided for the 2nd shift employees 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 are not just transforming our company; we are 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. : Locations: IND - Bengaluru Worker Type: Employee Worker Sub-Type: Regular Time Type: Full time

Additional Information

Company Name
Takeda
Industry
N/A
Department
N/A
Role Category
Data Engineer
Job Role
Mid-Senior level
Education
No Restriction
Job Types
Remote
Gender
No Restriction
Notice Period
Immediate Joiner
Year of Experience
1 - Any Yrs
Job Posted On
1 week ago
Application Ends
2 weeks left to apply

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