About the role Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers. Their primary responsibility is to make data available, accessible, and secure to stakeholders.
Building and maintaining data pipelines: Develop and manage data pipelines that collect, process, and store data from various sources.
Data integration: Combine raw data from different sources to create consistent and machine-readable formats.
Data quality and reliability: Implement methods to improve data reliability, efficiency, and quality.
Collaboration: Work with data scientists, analysts, and other stakeholders to support their data infrastructure needs.
Identify and implement process improvements, such as automating manual processes and optimizing data delivery.
Data preparation: Prepare data for predictive and prescriptive modeling.
Data Analysis: Analyze business requirements and translate them into technical specifications.
Troubleshooting: Identify and resolve issues related to the data processes.
Bachelor’s degree in computer science, Information Technology, or a related field.
Possesses a high regard for quality work and customer support
Technical Skills
Experience with data modeling and data analysis.
Proficiency in programming languages like Python, SQL
Experience with database and data lake systems such as SQL Server, Oracle, Azure Fabric and Synapse.
Familiarity with data warehousing concepts and technologies.
Our approach to employee wellness is holistic, which is why alongside competitive salaries, and excellent health and dental benefits, corporate employees have access to the following:
Onsite medical clinic and telemedicine
Daily shuttle bus from two downtown locations
We value collaboration and working together, which our offices facilitate, combined with working remotely.
