Data Engineer

18 Nov 2024

Vacancy expired!

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.