Opportunity Description
A Day in the Life:
The Senior Data Engineer will be responsible for building and maintaining data pipelines and workflows that support ML, BI, Analytics and software products. This individual will work closely with data scientists, data engineers, analysts, software developers and SME's within the business to deliver new and exciting products and services. The main objectives are to develop data pipelines and fully automated workflows to drive operational efficiency and effectiveness by enabling data-driven decisions across the organization. This includes fostering collaboration, building partnerships, co-developing products, sharing knowledge, providing insights and valuable predictive information to business teams and leaders to highlight potential risks and opportunities that initiate the drive for change.
**What You’ll Do:**
+ Building, maintaining, optimizing, and automating scalable data pipelines using PySpark and Databricks across cloud and on-prem...
The Senior Data Engineer will be responsible for building and maintaining data pipelines and workflows that support ML, BI, Analytics and software products. This individual will work closely with data scientists, data engineers, analysts, software developers and SME's within the business to deliver new and exciting products and services. The main objectives are to develop data pipelines and fully automated workflows to drive operational efficiency and effectiveness by enabling data-driven decisions across the organization. This includes fostering collaboration, building partnerships, co-developing products, sharing knowledge, providing insights and valuable predictive information to business teams and leaders to highlight potential risks and opportunities that initiate the drive for change.
**What You’ll Do:**
+ Building, maintaining, optimizing, and automating scalable data pipelines using PySpark and Databricks across cloud and on-prem...
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