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Location
Floral Park, NY, USA
Job Description
The Data Engineer will manage and execute the development and maintenance of our business data warehouse. This role is responsible for the acquisition, transformation, extraction, and modeling of business data through the building ETL processes and API integrations.
While You’re Here, You Will:
- Build and maintain ETL/ELT processes across multiple business data sources that ensure data standardization and integrity
- Design data models that support and simplify data visualization, reporting and predictive modeling processes for analysts and internal stakeholders
- Develop and maintain scalable data pipelines from data warehouse to marketing systems (e.g., Salesforce CRM, Salesforce Marketing Cloud, etc.)
- Implement systems to proactively monitor data quality, validation, automation, efficiency to ensure accuracy of data
- Support analysts with code optimization and assistance in maintenance of predictive models
- Design, code, test, and release new datasets, as well as enhancements and bug fixes for existing datasets
- Ensure compliance with organization privacy policies
- Help maintain a data dictionary to streamline interpretation of data models
- Coordinate with IT to administer cloud development and production environments, including optimization of data storage, user access, etc.
Qualifications Required
- BS degree in Computer Science or a related field
- Advanced MS SQL skills
- Advanced Python skills
- Advanced knowledge of relational databases
- Strong knowledge of Microsoft Azure
- Experience creating data models for Tableau or other business intelligence software preferred
- Experience creating data pipelines for marketing systems like Salesforce and Salesforce Marketing Cloud preferred
- 3+ years’ experience in data engineering or data operations roles managing production data pipelines and models
- Ability to provide prompt resolution of data issues, as well as define processes for execution to avoid future issues
- Ability to take business objectives and create scalable technical solutions to achieve them
- Strong analytical skills and ability to work well in a collaborative and fast paced environment