Data Engineer

Job Location: Hershey, PA

 

ROLE OVERVIEW:

Builds platforms and systems to manage, store, and transfer data leveraging a wide range of systems.

 

ACCOUNTABILITIES:

• Oversees systems for optimal extraction, transformation and loading of data by leveraging both local & distributed structures
• Identifies, designs, and implements process improvements including updating infrastructure for greater scalability, optimizing data delivery, and automating manual processes
• Builds tools based on business and technical requirements that facilitate data integration, business analytics, data cleaning / transformation, and the deployment of ML/Al models
• Creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements
• Works with stakeholders across teams to support data infrastructure needs while assisting with data-related technical issues
• Data Modelling Specialization: Requires high level of knowledge of Database Modelling techniques and concepts

 

QUALIFICATIONS:

• Data Engineering - data manipulation and productization of the use of data. Ability to build and optimize data pipelines, infrastructure, and workflows. Topics include dimension reduction, feature engineering, tagging/annotation
• Data cleansing, curation, harmonizing & packaging - data cleaning, relationship identification, pattern recognition, and web scraping
• Database modelling -- applying database modelling concepts (e.g., ER diagrams), database modelling tools and languages. Database connection tools and methods for SQL databases (e.g., MySQL, MS Access, SQLite)
• Additional data & analytics skills - descriptive and diagnostic analytics, programming and model construction, data reporting and visualization
• Development and coding skills -- familiarity with ETL tools, REST APIs, data warehousing tools, modular coding & pipeline automation, integration programming, source code management

 

Experience & Education:

• Bachelor's/Master's in Data Science, Engineering, or a related field, with a minimum of 3 years of experience in technology
• Working knowledge in one or more general purpose programming languages including but not limited to: Java, C/C++, C#, Python, JavaScript, etc.
• Working knowledge in SQL-based technologies (e.g., PostgreSQL, MySQL) and NoSQL technologies (e.g., MongoDB)

 

 

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