Opportunity Description
Responsibilities Design, develop, and maintain efficient ETL pipelines for ingesting, processing, and transforming large-scale data from multiple sources (batch and near real-time).
Design and implement
scalable data architectures and analytics pipelines
, leveraging modern data platforms such as
Databricks and Spark-based ecosystems.
Design and implement
efficient data models
(dimensional, normalized, and curated layers) to support analytics and operational use cases.
Define and enforce data quality, validation, and observability frameworks
Drive
performance tuning and cost optimization
across compute and storage layers.
Collaborate with engineering, platform, and product teams to
operationalize data-driven insights
within production environments.
Drive the exploration and adoption of AI/ML use cases, defining architecture, selecting best-fit tools and frameworks, and enabling scalable, production-grade data-driven intelligence across platf...
Design and implement
scalable data architectures and analytics pipelines
, leveraging modern data platforms such as
Databricks and Spark-based ecosystems.
Design and implement
efficient data models
(dimensional, normalized, and curated layers) to support analytics and operational use cases.
Define and enforce data quality, validation, and observability frameworks
Drive
performance tuning and cost optimization
across compute and storage layers.
Collaborate with engineering, platform, and product teams to
operationalize data-driven insights
within production environments.
Drive the exploration and adoption of AI/ML use cases, defining architecture, selecting best-fit tools and frameworks, and enabling scalable, production-grade data-driven intelligence across platf...
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