Data Engineer - Commercial

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.
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

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:
1.5-6.5 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 PM to 8:00 PM IST.
Sometimes, more overlap with the EST Time zone is required during production go-live.

About Zoetis

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. We know our people drive our success. Our award-winning culture, built around our Core Beliefs, focuses on our colleagues' careers, connection and support. We offer competitive healthcare and retirement savings benefits, 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.

Diversity, Equity & Inclusion

Connected to our purpose and Core Beliefs, at Zoetis, we lead with inclusion. Our Diversity, Equity & Inclusion (DE&I) focus helps create an environment where each colleague can thrive. Our commitment to DE&I begins with our leadership team of diverse backgrounds, experiences and ethnicities, and it is demonstrated in our support of our colleagues and the animal health industry. We have nine colleague resources groups whose members spread awareness, foster inclusivity and make a positive impact on our business and communities.

Our commitment to advancing Diversity, Equity and Inclusion has earned us recognitions as a 2024 Catalyst Award recipient and a Top 50 Company for Workplace Fairness by Fair360 (formerly DiversityInc). Zoetis has also been named a Best Place to Work for LGBTQ+ Equality, a Best Company for Working Parents, a Top Company for Executive Women, among many others. Learn more here.

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