Manager, Data Science Engineering (Secunderabad)

Manager, Data Science Engineering (Secunderabad)

04 Nov
|
Zoetis
|
Secunderabad

04 Nov

Zoetis

Secunderabad

Zoetis, Inc. is the world's largest producer of medicine and vaccinations for pets and livestock. The Zoetis Tech & Digital (ZTD) Global ERP organization is as a key building block of ZTD comprising of enterprise applications and systems platforms.
Join us at Zoetis India Capability Center (ZICC) in Hyderabad, where innovation meets excellence. As part of the world's leading animal healthcare company, ZICC is at the forefront of driving transformative advancements and applying technology to solve the most complex problems. Our mission is to ensure sustainable growth and maintain a competitive edge for Zoetis globally by leveraging the exceptional talent in India.
At ZICC, you'll be part of a dynamic team that partners with colleagues worldwide, embodying the true spirit of One Zoetis. Be a part of our journey to pioneer innovation and drive the future of animal healthcare.
Manage and oversee technical and functional aspects of projects.
Hands on experience in Azure Data Factory & Data Bricks.
Provide hands-on experience in Python and back-end programming languages.
Utilize knowledge in data visualization tools and libraries. Knowledge in Graph-DB is a plus.
Azure Data Factory & Data Bricks:
Design and develop data pipelines, workflows, and data transformation processes.
Integrate various data sources to ensure seamless data flow between systems.
Optimize data processing and storage for performance and cost-efficiency.
Databases (SQL, PostgreSQL, Azure Databases):
Design, implement, and maintain database systems, including PostgreSQL and Azure databases.
Monitor and optimize database performance.
ETL/ELT Concepts:
Extract data from various sources.
Transform data to meet business requirements.
Load data into target systems efficiently.
DevOps and Agile Methodologies:
Implement and manage continuous integration and continuous deployment (CI/CD) pipelines.




Apply Agile methodologies for project management and delivery.
Work closely with infrastructure teams to ensure seamless integration and deployment.
Experience with data analysis, data modelling, data profiling and architecting data analytic solutions.
Lead and support the team to maintain high-quality standards in deliverables.
Collaborate with cross-functional teams to support seamless project delivery.
Design and develop data solutions using Azure Data Factory & Data Bricks - 40%
Oversee ETL/ELT processes along with manage and maintaining ETL/ELT pipelines. Extract data from various sources. Transform data to meet business requirements. Load data into target systems efficiently - 20%
Cross-Team collaboration, Dev-ops & Agile methodologies - 10%
Global Manufacturing Supply process understanding like production planning, quality, inventory, and supply chain. MES (execution system) understanding, and SAP-ERP landscape - 10%
Participate in project planning activities, risk assessment, and scheduling for DDA projects.
Interacting with external vendors or partners who provide software or services that need to be integrated with DDA systems.
Work with implementation partners who may be responsible for deploying, configuring, or maintaining integrated solutions within Zoetis IT landscape.

EDUCATION AND EXPERIENCE

Bachelors/master's degree in computer science/applications.
Experience:




8-10+ years of overall experience in Data Engineering/Science with 6+ years' experience in Data Engineering/Science, and almost 1+ years in Lead Role.
Hands-on experience in Azure Data Factory and Data Bricks.
Expertise in Python, Databases Management, ETL/ELT Concepts.
Experience with data analysis, data modelling, data profiling and architecting data analytic solutions.
DevOps and Agile Methodologies
Implement and manage continuous integration and continuous deployment pipelines.
Agile Practices: Apply Agile methodologies for project management and delivery.
Azure Data Factory, Data Bricks, ETL/ELT, DB Management, Python, SQL, Viz. At Zoetis , our purpose is to nurture the world and humankind by advancing care for animals. As a Fortune 500 company and the world leader in animal health, we discover, develop, manufacture and commercialize vaccines, medicines, diagnostics and other technologies for companion animals and livestock. Our award-winning culture, built around our Core Beliefs, focuses on our colleagues' careers, connection and support. We offer competitive healthcare and retirement savings advantages, along with an array of benefits, policies and programs to support employee well-being in every sense, from health and financial wellness to family and lifestyle resources.

com and may also initially connect with candidates through LinkedIn , including LinkedIn InMail. Zoetis does not use Gmail, Outlook, Yahoo, or other web-based/generic email domains to communicate about job opportunities, interviews, or offers of employment. If you receive a recruitment-related email message claiming to be from Zoetis that does not come from @zoetis.For your security, do not reply, click links, open attachments, share personal or financial information, or send money in response to unexpected or questionable recruitment communications.

📌 Manager, Data Science Engineering (Secunderabad)
🏢 Zoetis
📍 Secunderabad

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