Job Description

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The Role: We are looking for a hands-on Data Engineer to build and maintain the data pipelines that power our business. You will move away from traditional app development and focus entirely on Big Data processing using Databricks and Spark .

Key Responsibilities:

  • Build Data Pipelines: Design, code, and maintain robust ETL processes to move massive datasets (TB scale).
  • Scripting: Use Python (PySpark) and complex SQL to transform raw logs into clean, usable data.
  • Architecture: Help us design our Data Lakehouse layers (ODS/DWD) to ensure data stability.
  • Troubleshoot: Monitor data quality and fix pipeline failures in a high-availability environment.
(Apply now at #J-18808-Ljbffr

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