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Zoetis India Capability Center (ZICC) in Hyderabad seeks a senior Data Engineer/Lead to design and manage data pipelines using Azure Data Factory and Data Bricks. You will apply Python and SQL to transform data, build scalable ETL/ELT processes, and collaborate with cross-functional teams.
The ideal candidate has 8-10+ years in data engineering/science, 6+ years in data engineering, and at least 1 year in a leadership role, with strong analytical and communication skills.
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.
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.
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.
Azure Data Factory, Data Bricks, ETL/ELT, DB Management, Python, SQL, Viz. Tools, CI/CD pipelines
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 Regular Colleague
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Join Zoetis – and build your career with a global animal health company dedicated to supporting its customers and their businesses.
Zoetis has more than 60 years of experience in delivering innovative, high-quality products and services that benefit our customers.
At Zoetis, we take pride in a collaborative spirit and high-performing environment where every colleague is given room to learn and grow.
We invest in our people and offer diverse and exciting opportunities to make a difference in a growing global industry while shaping the future of animal health.
Our colleagues make an impact by working hand-in-hand with those who raise and care for animals to better understand and address the unique real-world challenges they face.