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Zoetis

Data Engineer

LocationHyderabad
Work modeon-site
Typefull-time
SeniorityMid
Experience3–7 yrs
Company size10,000+ people
PostedSep 30, 2026 · 1w ago
Verified live4h ago
At a glanceSummarised by Seekless from the posting.
Must have14
3-7 years of overall experience in Data Engineering
Hands-on experience in Azure Data Factory and Data Bricks
Expertise in Python
Expertise in Databases Management
Expertise in ETL/ELT Concepts
Strong analytical skills
Excellent communication abilities
Proactive approach to problem-solving
Knowledge of 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
Bachelors/master’s degree in computer science/applications
Skills
Azure Data Factory
Databricks
Python
SQL
PostgreSQL
Git
CI/CD
POSITION SUMMARY
Zoetis, Inc. is the world’s largest producer of medicine and vaccinations for pets and livestock.  The Zoetis Tech & Digital (ZTD) organization is as a key building block of Zoetis 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:
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.
Requirements
Use Git for version control and collaboration.
Cross-Team Collaboration:
Work closely with infrastructure teams to ensure seamless integration and deployment.
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.
POSITION RESPONSIBILITIES
Percent of Time
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 and Learning New Technologies to stay-up to date.
20%
Dev-ops & Agile methodologies
10%
Commercial Business Knowledge across systems like SAP-ERP, Salesforce, Vistex-Rebates, Callidus, Five9 and home-grown application around master data management
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.
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:
3-7 years of overall experience in Data Engineering.
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.
Knowledge of 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 AM to 8:00 PM IST.
· Sometimes, more overlap with the EST Time zone is required during production go-live.
Full timeRegularColleague
Legal
Any unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
Zoetis will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search.
Notice: Zoetis Recruiters will contact candidates via email from an address ending in @zoetis.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.com, please treat it as suspicious. 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.
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