Data Engineer
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The role
Design, build, and maintain robust data pipelines for ingestion, transformation, and analytics using Spark, Airflow, and streaming platforms like Kafka or Kinesis.
Develop APIs, utilities, and microservices to enable fast, secure data access for internal apps and ML products.
Write production-grade code to support batch and real-time data processing and ensure data quality, observability, and lineage.
Model data, metrics, and feature stores to drive recommendations, personalization, and analytics.
Collaborate across teams to deliver scalable data solutions with reliable monitoring and governance.
Hands-on experience with cloud data stacks (AWS), SQL, and containerized deployments (Docker/Kubernetes), plus CI/CD automation.
Develop APIs, utilities, and microservices to enable fast, secure data access for internal apps and ML products.
Write production-grade code to support batch and real-time data processing and ensure data quality, observability, and lineage.
Model data, metrics, and feature stores to drive recommendations, personalization, and analytics.
Collaborate across teams to deliver scalable data solutions with reliable monitoring and governance.
Hands-on experience with cloud data stacks (AWS), SQL, and containerized deployments (Docker/Kubernetes), plus CI/CD automation.
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