August 13
• Develop and implement data pipelines and systems that can handle large volumes of data • Process TBs of data delivering actionable insights and intelligence using technologies such as Spark, Airflow, Google Pubsub, Pulsar, BigQuery, DBT. • Collaborate with data scientists and other teams to integrate data into business processes and decision making • Maintain and optimize existing data systems for costs, ease of access, and data governance • Improve data quality by building any tooling, testing, and observability pipelines. • Stay up to date with the latest advances in data engineering and implement new technologies as needed.
• Bachelors in Computer Science, Engineering or similar • You have 7+ years of relevant experience • Proficiency with Java, Golang, Scala, or Python • Strong knowledge of computer science fundamentals and data structures. • Expert SQL skills. • Hands-on experience building big data processing systems • Experience with Cloud technology stacks (e.g., GCP or AWS and their product offerings) • You have dealt with large amounts of data in production and have built distributed data processing using frameworks like Spark, Hadoop, Apache Beam, or Flink • Experience with large-scale data warehousing architecture, data lakes, and data modeling • Experience with Data Ops and data reliability • Experience with error handling, data validation, dbt models. • Previous startup experience strongly preferred
Apply NowAugust 8
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💰 $21.4M Post-IPO Equity on 2022-11
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