Description

We are searching for an accountable, multitalented data engineer to facilitate the operations of our data scientists. The data engineer will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data while remaining familiar with dominant programming and deployment strategies in the field. During various aspects of this process, you should collaborate with coworkers to ensure that your approach meets the needs of each project. To ensure success as a data engineer, you should demonstrate flexibility, creativity, and the capacity to receive and utilize constructive criticism. A formidable data engineer will demonstrate unsatiated curiosity and outstanding interpersonal skills.

Role and Responsibilities

• Data Engineer Job Responsibilities: Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity. Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization. Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it. Writes unit/integration tests, contributes to engineering wiki, and documents work. Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Works closely with a team of frontend and backend engineers, product managers, and analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Designs data integrations and data quality framework. Designs and evaluates open source and vendor tools for data lineage. Works closely with all business units and engineering teams to develop strategy for long-term data platform architecture.