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You'll be on a team of engineers at the forefront of establishing and maintaining QuBIT's data lake house - the single source of truth for North American Customer Fulfillment operations.You'll represent data infrastructure needs and challenges to both engineering and business management teams, while leveraging your technical skills to design and implement scalable data solutions. Your role will involve all aspects of the data pipeline lifecycle, including designing scalable ETL processes, optimizing data storage and retrieval processes, ensuring data quality and governance, and implementing data security measures. You'll contribute to data model design, query optimization, and the deployment of analytics-ready data structures.
- 2+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
- Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design
- Knowledge of distributed systems as it pertains to data storage and computing
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