Remote Senior Data Engineer

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Description:

  • Design and develop custom ingestion pipelines to integrate aggregate Call Detail Records for accurate usage measurement per eSIM/user
  • Identify and implement process optimizations within data engineering workflows to enhance efficiency and reliability
  • Orchestrate and monitor data pipelines to ensure seamless data flow
  • Manage and optimize data warehouse performance for fast and reliable data access
  • Implement and enforce data governance and security policies to ensure data integrity, privacy, and compliance with regulations
  • Stay updated on industry trends and technologies, recommending new techniques and tools for staying ahead

Requirements:

  • 4+ years of hands-on experience with modern warehousing solutions like Snowflake or BigQuery
  • Proven track record of building and automating robust, scalable data pipelines
  • Deep understanding of data architecture, governance, and security
  • Familiarity with orchestrators such as Airflow, Prefect, or Mage.AI
  • Expertise in SQL, Spark, and proficiency in Python/Scala/Java
  • Working knowledge of Docker, Git, and the command line
  • Excellent communication skills for complex technical topics
  • Strong passion for structure, efficiency, and attention to detail

Benefits:

  • Health insurance, work-from-anywhere stipend, annual wellness & learning credits
  • Annual all-expenses-paid company retreat in a beautiful destination
  • Other benefits provided by the company
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