Data Engineer
1 month ago
Role Description:
- A Senior Data Engineer will design and develop highly scalable and extensible data pipelines which enable collection, storage, distribution, modeling, and analysis of large data sets from many channels.
- This position requires an innovative software engineer who is passionate about data & data quality.
- The ideal candidate will have strong data warehousing and API integration experience and the ability to develop scalable data pipelines that make data management and analytics/reporting faster, more insightful, and more efficient.
- Develop, test, document and support scalable data pipelines Build out and evolve data integrations including APIs to support continuing increases in data volume and complexity
- Establish and follow data governance processes and guidelines to ensure data availability, usability, consistency, integrity, and security
- Build, implement, and maintain scalable solutions that align to our data governance standards and architectural road maps for data integrations, data storage, reporting, and analytic solutions
- Collaborate 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
- Design and develop data integrations and a data quality framework.
- Write unit/integration/functional tests and document work
- Design, implement, and automate deployment of our distributed system for collecting and processing streaming events from multiple sources
- Perform data analysis needed to troubleshoot data-related issues and aid in the resolution of data issues Guide and mentor junior engineers on coding best practices and optimization
Competencies: Digital : Python, Digital : Azure Machine Learning (ML), Digital : Databricks, Digital : PySpark
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