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Accountabilities:

  • Maintain, configure, and optimize the existing data warehouse platform and pipelines.
  • Design and implement incremental data integration solutions prioritizing data quality, performance, and cost-efficiency.
  • Drive innovation by experimenting with new technologies and recommending platform improvements.

Requirements:

  • 7+ years of experience in data warehousing, database administration, or database development.
  • 5+ years of hands-on experience as a Data Engineer using SQL and Python.
  • Strong experience with cloud platforms such as AWS, GCP, or Azure, including containerization (Docker/Kubernetes).

Benefits:

  • Competitive total compensation package.
  • Strong work-life balance initiatives and flexible remote work environment.
  • Autonomy and freedom to make decisions and propose improvements.

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