Sr Eng Data Management

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Job Function:
Data Analytics & Computational Sciences

Job Sub Function:
Data Engineering

Job Category:
Scientific/Technology

All Job Posting Locations:
Bangalore, Karnataka, India

Job Description:

The Senior Engineer, Data Management will support the foundational capabilities needed to enable data-driven decision-making through persona-based insights.

This role requires deep expertise in integrating Databricks with enterprise data platforms, applying advanced data management skills to build industry-leading products, and establishing research-based methods for the Data Management team.

Key Responsibilities


* Drive operational goals that directly support Data Management outcomes and enterprise data product delivery.


* Perform data profiling and analysis to identify quality trends, root causes, and opportunities for cleansing, standardization, and remediation.


* Deliver complex analyses that support data science, advanced analytics, and large-scale data mining initiatives.


* Identify and implement opportunities to automate manual processes, improve scalability, and strengthen operational efficiency.


* Design and deploy custom data solutions, programs, and platforms that address complex business and data science needs.


* Develop components of comprehensive data solutions aligned to customer expectations, business requirements, and technology standards.


* Coach junior colleagues on data management methods, engineering practices, operating processes, and role responsibilities.


* Apply Johnson & Johnson's Credo and Leadership Imperatives in day-to-day collaboration, decision-making, and team engagement.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Science, Analytics, or a related field.

• 6 to 7 years of experience in data engineering, data management, analytics, business intelligence, or related roles.

• Working knowledge of AI-assisted analytics, GenAI concepts, and responsible AI practices.

• Ability to apply responsible AI practices, including approved tool usage, sensitive data protection, and clear disclosure and traceability of AI-assisted outp...