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About the Role
Job Description
The Data Engineer is responsible for architecting, developing, and maintaining enterprise‑scale data platforms that support analytics, operational reporting, and machine learning initiatives. This role requires deep technical expertise in distributed systems, cloud platforms, and data modeling, combined with strong communication and leadership capabilities.
Design and implement large‑scale ETL/ELT pipelines using Python, Spark, and distributed processing frameworks
Develop and maintain big data infrastructure leveraging Hadoop, Spark, Kafka, and Kafka Streams
Architect cloud‑native data solutions on AWS or Azure, including serverless components
Build and optimize Snowflake data warehouses using dimensional modeling best practices
Conduct data discovery and source analysis to support new integrations and transformations
Model complex datasets using normalized, denormalized, star, and snowflake schemas
Integrate external systems through RESTf...
The Data Engineer is responsible for architecting, developing, and maintaining enterprise‑scale data platforms that support analytics, operational reporting, and machine learning initiatives. This role requires deep technical expertise in distributed systems, cloud platforms, and data modeling, combined with strong communication and leadership capabilities.
Design and implement large‑scale ETL/ELT pipelines using Python, Spark, and distributed processing frameworks
Develop and maintain big data infrastructure leveraging Hadoop, Spark, Kafka, and Kafka Streams
Architect cloud‑native data solutions on AWS or Azure, including serverless components
Build and optimize Snowflake data warehouses using dimensional modeling best practices
Conduct data discovery and source analysis to support new integrations and transformations
Model complex datasets using normalized, denormalized, star, and snowflake schemas
Integrate external systems through RESTf...
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