Job Description

  • Lead and guide a team of data engineers on multiple projects.
  • Work on data preparation and pipeline development for predictive modeling.
  • Tasks include: data interrogation, exploratory data analysis, profiling, and reconciliation.
  • Create, revise, and monitor data pipelines based on input from product managers and data scientists.
  • Develop and manage features, including initial testing.
  • Collaborate with other staff like product managers, data scientists, and architects to solve problems.
  • Create and manage data assets, datasets, and code with a focus on simplicity, scalability, reusability, and clear documentation.

QUALIFICATIONS

  • 6+ years of relevant data engineering experience.
  • Deep experience implementing DBT and leading ETL/ELT development.
  • Extensive hands‑on experience with specific AWS technologies: Redshift, MWAA, EMR, and Glue.
  • SQL and Python.
  • Experience b...

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