Data Engineer

Location :

Parsippany based

Position Summary

The candidate will play a critical role in the development of a advanced-analytics enabled enhancement of Zoetis' go-to-market sales strategy. The candidate will be responsible for shaping the core data capabilities that drive critical use cases within the organization, such as revenue generation tactics and strategies to detect and prevent potential customer defection. This candidate will also support data quality and governance initiatives such as master data management, and assist the data engineering team in applying advanced analytics to both internal and external data sources to solve complex business problems. The role will provide the candidate with an exceptionally broad view of every aspect of Zoetis' business, while serving as critical support for the US Petcare division.

To be successful, the ideal candidate will demonstrate an advanced technical expertise, along with a thirst for knowledge and natural curiosity to enable rapid learning of the Zoetis business model and data infrastructure at a scale to support a growing $2b region. The position involves working with structured and unstructured real-world data, requiring a candidate who is comfortable thinking independently about solving business problems. Candidates must be self-motivated, detail-oriented, have the ability to work with limited supervision, and must be comfortable in an environment of changing priorities. Candidates should have a strong business acumen, with evidence of delivered business value, preferably in a commercial setting

Job Responsibilities

• Design, develop, test and implement database solutions related to optimal data pipeline architecture and infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL Server, Oracle, Sales Force, Python and Big Data technologies.
• Develop, construct, test and maintain US commercial data layers to enable modeling
• Collaborate with and enable data scientists on the team to rapidly iterate on model building and deployment
• Assists in data quality, integrity, and documentation efforts in support of data governance initiatives
• Automate processes that increase productivity for the US commercial data and analytics team
• Develop and implement controls to ensure data integrity and regulatory compliance (SOX).
• Package and support deployment of releases of new code within our Azure environment.
• Drive innovation within the group in areas including development efficiencies within Databricks, and leading-edge industry concepts and developments.
• Monitor the production schedule and provide support to remediate job failures.
• Provide support to team members when they need a solution to a complex issue.
• Provide production support to business users.

Education and Experience

• Masters from an accredited college/university in Computer Science, Information Technology, Electrical Engineering, or related field
• Minimum of Three years of professional experience working as a Data Engineer
• Deep experience building deployed data pipelines / ETL
• Expertise in designing, building and maintaining large-scale databases
• Deep acuity in leveraging the latest in big data and cloud infrastructure methodologies
• Demonstrated ability to learn and apply new concepts and technologies
• Experience working directly with data scientists to build and deploy predictive and optimization models, including assisting in feature engineering
• Excellent interpersonal, written, and verbal communication skills; demonstrated ability to effectively communicate complex ideas to both technical and non-technical audiences
• Fluency in English required
• Expertise in database design, creation, and maintenance

Technical Skill Requirements

• Hands-on experience in latest data infrastructure technologies, including cloud-based (e.g. Amazon S3, Redshift, Azure Storage) and distributed file systems (HDFS)
• Strong proficiency in SQL and at least one programming language (Python, Scala, Java).
• Experience in working with modern ETL tools and data pipeline platforms (e.g., Databricks, Azure Data Factory, Airflow, DBT, Prefect).
• Experience in large-scale/distributed computing and analytics (Hadoop, Spark)
• Familiarity with predictive model building in Python (Pandas/PySpark) / R
• Experience with source control and collaboration tools (e.g. Git)
• Software development / engineering experience a plus
• Experience in scaled model testing, integration, and deployment (DevOps) a plus
• Experience working in Microsoft tech stack preferred

Physical Requirements

• Position is based in Parsippany, NJ
• Office based, Hybrid position
• Travel approximately 5%

The US base salary range for this full-time position is $105,000 - $151,000\. Our salary ranges are

determined by role, level, and location. The range displayed on each job posting reflects the base pay target range

for new hire salaries for the position. Within the range, individual pay is determined by work location and additional

factors, including job-related skills, experience, and relevant education or training.

In addition to compensation, Zoetis offers a comprehensive benefits package that supports the physical, emotional

and financial wellbeing of our colleagues and their families including healthcare and insurance benefits beginning

on day one, a 401K plan with a match and profit-sharing contribution from Zoetis, and 4 weeks of vacation.

Visit zoetisbenefits.com to learn more.

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.

*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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