Software Engineer, Analytics Platform

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  "active_status": "active"
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  "language": "en",
  "location": {
    "raw": "Foster City, CA",
    "city": "Foster City",
    "region": "CA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.9
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    "countries": [
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  "remote_policy": "hybrid",
  "salary_period": "year",
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{
  "lists": [
    {
      "text": "In this role, you will:",
      "content": "\n<li>Develop features for the schedule-based processing framework built on top of Airflow, AWS EMR, and DuckDB.</li>\n<li>Improve the stability, performance, and scalability of our data ingestion and processing platforms as we scale our geofence and robotaxi deployment.</li>\n<li>Collaborate with cross-functional teams, such as software engineers, data scientists, data engineers, and TPMs, to gather requirements, design robust architectures, and implement effective solutions.</li>\n<li>Partner with Staff and Senior engineers inside and outside the organization to translate user pain points into concrete technical solutions and roadmap items.</li>\n<li>Enhance system observability by building monitoring and alerting tools to track performance and measure success.</li>\n"
    },
    {
      "text": "Qualifications",
      "content": "\n<li>Bachelor's or Master's in Computer Science or related fields with 4+ years of industry experience in software engineering</li>\n<li>Strong background in Python for large-scale data processing</li>\n<li>Familiarity with large-scale data processing systems like Spark, Trino, and DuckDB</li>\n<li>Experience in using cloud services, such as AWS, GCP, or Azure</li>\n<li>Strong experience in troubleshooting data pipeline failures and optimizing pipeline performance and cost efficiency</li>\n"
    }
  ],
  "country": "US",
  "createdAt": 1774462790782,
  "updatedAt": null,
  "categories": {
    "team": "Software Systems",
    "location": "Foster City, CA",
    "commitment": "Full-time",
    "department": "Software",
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      "Foster City, CA",
      "Seattle, WA"
    ]
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