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About the role
Build and maintain data infrastructure on AWS for analytics and AI teams.
- •We're looking for an experienced AI Data Engineer to join our data team.
- •You'll build and maintain our data infrastructure on AWS, enabling analytics and AI teams to extract actionable insights.
- •Key Responsibilities Design and build scalable data pipelines/transformations using Spark / PySpark / Scala.
- •Manage and optimize Airflow DAGs for complex data workflows.
- •Clean, transform, and prepare data for analytics, AI, and ML use cases.
- •Requirements Bachelor’s or Master’s in Computer Science, Engineering, or related field. 4-8 years of hands-on experience in data engineering.
- •Strong expertise in Spark / Scala for large-scale data processing.
Tech stack
SparkScalaAirflowPythonAWSS3RedshiftAthenaNode.jsTypeScriptCI/CDGitHub ActionsSQL
Match insights
Tech:Spark, Scala, Airflow, Python, AWS
Level:Lead