Data Engineer | Scalable Pipelines & Cloud Data

Leap29 is seeking a Data Engineer to work on large-scale data projects, building reliable pipelines and scalable solutions to process and transform data from multiple sources. You will design, build and maintain pipelines, transform data across models, and develop reusable solutions using Python and best practices.

The role requires strong Python skills, experience with cloud platforms (Azure), Spark/Databricks, and data storage technologies such as Parquet/Delta Lake.

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