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Experience Required: 8- 10 Years. Skills: Digital : Artificial Intelligence(AI), Digital : Google Data Engineering~
"Key responsibilities:
Design, optimize, and maintain Snowflake schemas, tables, views, and stored procedures Build and operate pipelines for model training and scoring (Snowflake DataRobot other platforms) Implement data validation, monitoring, and automated remediation workflows Partner with Data Scientists to deliver ""model - ready"" datasets Define and maintain automated tests for data pipelines and scoring flows Validate model inputs/outputs, manage schema changes, and enforce data quality thresholds Collaborate with MLOps and Data Engineering to detect and resolve issues before production Clean, transform, and curate data from source systems Design, build, and maintain production - grade data assets in Snowflake (tables, procedures, views) Develop and operate ETL/ELT pipelines across Snowflake, DataRobot, and other AI platforms Design and execute robust QA, validation checks, and monitoring for data quality and ETL processes feeding AI models Design, build, and operate scalable feature stores for AI/ML models to enable consistent, reusable features across projects and environments. Required Skills: Python, SQL, ETL, ELT, Database, Schema Design, QA
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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- English
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