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Job Description
The Data engineer will build data pipelines that transform raw, unstructured data into formatted data for analysis purposes. They are responsible for creating and maintaining the analytics infrastructure that enables almost every other data function. This includes architectures such as databases, servers, and large-scale processing systems.
Responsibilities
General
Identifies, designs, and implements internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
Working with internal stakeholders including the Executive, Product, Data and Design teams to support data infrastructure needs while assisting with data-related technical issues
Working with client stakeholders to assist with data-related technical issues and support their data infrastructure needs.
Defines and designs data pipeline architecture and infrastructure for optimal extraction, transformation and loading of data from various data sources
Defines ingestion components to read data from data sources
Builds transformation functions for filtering and aggregation
Assembles large, complex sets of data that meet non-functional and functional business requirements
Builds analytical tools to utilize the data pipeline, providing actionable insight into key performance metrics
Prepares data for predictive and prescriptive modeling
Find hidden patterns using data
Use data to discover tasks that can be automated
Continuously works with data and analytics experts to strive for greater functionality in our analytical solutions.
Qualifications
Required
Bachelor's degree in Computer Science or related discipline; or equivalent work experience
Minimum 3 years experience in a Data Engineer role
Possesses a strong technical aptitude for data lakes, Microsoft Azure Data factory experience a plus
Demonstrated understanding and SQL experience with relational databases
Strong data discovery skills related to working with unknown datasets
Experience building and optimizing data pipelines, architectures, and data sets
Demonstrated understanding of creating load architectures for dimensional models and data marts
Desired Competencies
Graduate degree in information systems, informatics, statistics, computer science or another quantitative field.
2-3 Years experience with Microsoft Power BI
Experience performing root cause analysis to identify opportunities for improvement
Strong data discovery skills related to working with unknown datasets
Evidence of building processes supporting data transformation, data structures, metadata, dependency
Ability to prioritize and work under pressure in fast-paced ever-changing environment
Self-starter and able to support quality and results with minimal directional guidance
Strong project management skills
Strong analytical (quantitative and qualitative) capabilities and attention to detail/quality
Direct experience in a Data Engineer role in healthcare
Demonstrates ability to clearly communicate complex information at a consumable high level
Additional Information
All applicants meeting minimum qualifications will be required to complete a 30 minuteonline assessment as part of your application.
- ID: #22975463
- State: North Carolina Raleigh / durham / CH 27601 Raleigh / durham / CH USA
- City: Raleigh / durham / CH
- Salary: USD TBD TBD
- Job type: Full-time
- Showed: 2021-11-18
- Deadline: 2022-01-17
- Category: Et cetera