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Manager Data Engineering
full-timeHyderabad

Summary

Location

Hyderabad

Type

full-time

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About this role

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. Together, we ensure seamless integration and collaboration, fostering an environment where your contributions can make a real impact. Be a part of our journey to pioneer innovation and drive the future of animal healthcare.

Responsibilities:

Techno Functional Management:
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.
People Management: Lead and mentor team members, fostering a collaborative and productive work environment.

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.
Implement robust backup and recovery strategies.

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.
Use Git for version control and collaboration.
Apply Agile methodologies for project management and delivery.

Cross-Team Collaboration:
Work closely with infrastructure teams to ensure seamless integration and deployment.
Collaborate with security teams to implement and maintain security controls.
Engage with business partners to understand requirements and deliver solutions in a timely and cost-effective manner.

Problem-Solving and Attention to Detail:
Demonstrate excellent problem-solving abilities and attention to detail.
Identify and resolve issues promptly within SLA guidelines, providing ongoing support to business users.
Experience with data analysis, data modelling, data profiling and architecting data analytic solutions.

Leadership and Team Support:
Lead and support the team to maintain high-quality standards in deliverables.
Collaborate with cross-functional teams to support seamless project delivery.

POSITION RESPONSIBILITIES 
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%
Techno Functional Management and People Management - 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%

ORGANIZATIONAL RELATIONSHIPS
Interacting with business stakeholders to gather integration requirements, understand business processes, and ensure that integration solutions align with organizational goals and objectives.
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.
Coordinate with developers and other members of the team to implement integration solutions, share knowledge, and address technical challenges.


EDUCATION AND EXPERIENCE 
Education:
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.
Strong analytical skills, excellent communication abilities, and a proactive approach to problem-solving.
Experience with data analysis, data modelling, data profiling and architecting data analytic solutions.
DevOps and Agile Methodologies
CI/CD Pipelines: Implement and manage continuous integration and continuous deployment pipelines.
Version Control: Use Git for version control and collaboration.
Agile Practices: Apply Agile methodologies for project management and delivery.

TECHNICAL SKILLS REQUIREMENTS
Azure Data Factory, Data Bricks, ETL/ELT, DB Management, Python, SQL, Viz. Tools, CI/CD pipelines

PHYSICAL POSITION REQUIREMENTS 
Regular working hours are from 11 PM to 8:00 PM IST.
Sometimes, more overlap with the EST Time zone is required during production go-live.

Full time

Other facts

Tech stack
Azure Data Factory,Data Bricks,ETL,ELT,Database Management,Python,SQL,Data Visualization,DevOps,Agile,Data Analysis,Data Modelling,Data Profiling,CI/CD,Git,Problem-Solving

About Zoetis

The world’s leading animal health company. We’ve been innovating ways to predict, prevent, detect, and treat animal illness for over 70 years, and we continue to stand by those raising and caring for animals worldwide – from veterinarians and pet owners to livestock farmers. Our leading portfolio and pipeline makes a difference in over 100 countries.

Community Guidelines:
This page is intended to share how Zoetis is advancing care for animals. We aspire to create a supportive community, but there are guidelines to which posts and comments on this page must adhere.

If your post references a side effect related to any Zoetis product, we may contact you for more information. To monitor the safety of Zoetis products, we advise you to call our Veterinary Medical Information and Product Support Team at 1-888-963-8471; Support Team is available Mon-Fri 9am to 6:30pm ET.

We reserve the right to remove any post/comment that violates LinkedIn Guidelines. As a last resort, we reserve the right to block users that demonstrate a repeated pattern of violating LinkedIn’s spirit of constructive, professional discourse. We respectfully request that you refrain from posting comments including:

Unsolicited and/or unverified medical advice
Vulgarity and/or profanity
Discriminatory and/or derogatory comments, hate speech
Politics and religion
Personal attacks and/or threats
Promotion of illegal activity
Copyright/trademark infringements
Topics that may be considered spam/advertising

Our regular business hours are Mon-Fri 9am to 5pm ET. Zoetis does not endorse and is not responsible for information and opinions shared by community members. The information shared is provided for educational purposes only and is not intended to replace discussions with an animal healthcare professional. Testimonials represent individual experience only and the experiences and opinions of community members may be unique to the speaker. Terms of Use: https://www.zoetis.com/terms-of-use

Team size: 10,001+ employees
LinkedIn: Visit
Industry: Pharmaceutical Manufacturing
Founding Year: 2013

What you'll do

  • The manager will design and develop data solutions using Azure Data Factory and Data Bricks, oversee ETL/ELT processes, and manage team members. They will also collaborate with cross-functional teams to ensure seamless project delivery.

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Frequently Asked Questions

What does a Manager Data Engineering do at Zoetis?

As a Manager Data Engineering at Zoetis, you will: the manager will design and develop data solutions using Azure Data Factory and Data Bricks, oversee ETL/ELT processes, and manage team members. They will also collaborate with cross-functional teams to ensure seamless project delivery..

Why join Zoetis as a Manager Data Engineering?

Zoetis is a leading Pharmaceutical Manufacturing company.

Is the Manager Data Engineering position at Zoetis remote?

The Manager Data Engineering position at Zoetis is based in Hyderabad, India. Contact the company through Clera for specific work arrangement details.

How do I apply for the Manager Data Engineering position at Zoetis?

You can apply for the Manager Data Engineering position at Zoetis directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about Zoetis on their website.