Job Location: Remote
ROLE OVERVIEW:
Builds and optimizes platforms and systems to manage, store, and transfer data using a variety of systems. This role will support designing, building, and maintaining robust data pipelines and infrastructure to support the company's data-driven initiatives. This role involves transforming raw data into actionable insights by ensuring data quality, integrity, and accessibility. The Sr. Data Engineer will collaborate with cross-functional teams to implement scalable data solutions that align with business objectives.
ACCOUNTABILITIES:
- Oversees systems for optimal data extraction, transformation, and loading.
- Identifies, designs, and implements process improvements for scalability, data delivery optimization, and automation.
- Builds advanced tools for data integration, business analytics, data cleaning/transformation, and ML/AI model deployment.
- Establishes and enforces design standards and assurance processes for software, systems, and applications development.
- Collaborates with stakeholders to support data infrastructure needs and resolve complex data-related technical issues.
- Data Modelling Specialization: Requires extensive knowledge of database modelling techniques and concepts.
QUALIFICATIONS:
- Data Engineering: Expertise in data manipulation, pipeline optimization, and workflow management.
- Data Cleansing & Curation: Advanced skills in data cleaning, relationship identification, pattern recognition, and web scraping.
- Database Modelling: Proficiency in database modelling concepts, tools, and languages.
- Additional Data & Analytics Skills: Competence in descriptive and diagnostic analytics, programming, model construction, data reporting, and visualization.
- Development & Coding Skills: Familiarity with ETL tools, REST APIs, data warehousing tools, modular coding, pipeline automation, and source code management.
Experience & Education:
- Bachelor's/Master's in Data Science, Engineering, or a related field.
- 5-7 years of experience in technology.
- Proficiency in one or more general-purpose programming languages (e.g., Java, C/C++, C#, Python, JavaScript).
- Working knowledge of SQL-based and NoSQL technologies (e.g., PostgreSQL, MySQL, MongoDB).
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The Hershey Company is an Equal Opportunity Employer. The policy of The Hershey Company is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's race, color, gender, age, national origin, religion, citizenship status, marital status, sexual orientation, gender identity, transgender status, physical or mental disability, protected veteran status, genetic information, pregnancy, or any other categories protected by applicable federal, state or local laws.
The Hershey Company is an Equal Opportunity Employer - Minority/Female/Disabled/Protected Veterans.
You may request a reasonable accommodation if you are unable or limited in your ability to use or access our online application process as a result of a disability.
You can request an accommodation via phone or email.
To request an accommodation via phone, please call +1 877-804-1794 and leave a voicemail with your contact information. You may also email a request for accommodation to ApplicationHelp@hersheys.com. Please be sure to include “Accommodation Needed” in the subject line. This will ensure that your email is routed to the appropriate contact who will handle your request.
