Senior Data Engineer

Roles and Responsibility

As a Senior Data Engineer, you will be responsible fordesigning, owning, and developing highly scalable business intelligence datamodels and services for data ingestion and data processing. This role will situniquely between Data Engineering and ML Scientists, so familiarity with ML andML dev-ops solution is a plus. This opportunity is very exciting for theversatile engineer looking to operationalize custom ML model architecture foroperational use across high-impact processes at the company.

What you’ll be doing :

• Design and implement highly scalable and secure datamodels and data marts for data ingestion, standardization, and data processing.
• In collaboration with product owners, data analysts andbusiness partners improve overall architecture, frameworks and patterns forprocessing and storing large data volumes.
• Design and implement distributed data processingpipelines using tools and languages prevalent in the data warehousingecosystem.
• Designs data validation and audit processes for qualitycontrol.
• Implement complex automated routines using workfloworchestration tools.
• Work with geographically diverse teams in different timezones to identify technical bottlenecks and provide efficient solutions that adhereto our unified data model standards.
• Drive the implementation of new data projects and theoptimization of existing solutions.
• Design and own ML model operationalization in productionenvironment in close collaboration with ML Scientists.
• Help design and manage REST API in the cloud to supportML recommendation engine.
• Educate and promote best practices around dataengineering on decentralized and geographically diverse teams.

What you’ll need to be successful :

Perks & Benefits :