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Data Warehouse Engineer

Closing: Nov 7, 2022

This position has expired

Published: Oct 27, 2022 (2 months ago)

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Job Summary

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We are looking for a seasoned Big Data data warehouse engineer. The candidate will build efficient big data data warehouse service to support various data applications that meet business needs.

Requirements
  • 5+ years experiences of data lake and data warehouse design and development experience.
  • Deeply understanding of data warehouse modeling and data governance. Solid knowledge of data warehouse development methodology, including dimensional modeling, information factory, and one data, etc.
  • Proficient in Java / Scala / Python (at least one language) and Hive & Spark SQL programming languages.
  • Familiar with OLAP technology (such as: kylin, impala, presto, druid, etc.).
  • Proficient in Big Data batch pipeline development.
  • Familiar with Big Data components including but not limited to Hadoop, Hive, Spark, Delta lake, Hudi, Presto, Hbase, Kafka, Zookeeper, Airflow, Elasticsearch, Redis, etc.
  • Experiences with AWS Big Data services are a plus.
  • Clear mind, with good business requirement understanding, analysis, abstraction, and system design capabilities.
  • Have a strong team collaboration attitude and develop partnerships with other teams and businesses.
  • Those who have experienced data volume above PB level in Internet companies and solve difficult production issues are preferred.
  • Be optimistic, able to adapt quickly to meet new challenges, and quick to respond to incidents

  • Responsibilities
    We are looking for a seasoned Big Data data warehouse engineer. The candidate will build efficient big data data warehouse service to support various data applications that meet business needs.

    Requirements
  • 5+ years experiences of data lake and data warehouse design and development experience.
  • Deeply understanding of data warehouse modeling and data governance. Solid knowledge of data warehouse development methodology, including dimensional modeling, information factory, and one data, etc.
  • Proficient in Java / Scala / Python (at least one language) and Hive & Spark SQL programming languages.
  • Familiar with OLAP technology (such as: kylin, impala, presto, druid, etc.).
  • Proficient in Big Data batch pipeline development.
  • Familiar with Big Data components including but not limited to Hadoop, Hive, Spark, Delta lake, Hudi, Presto, Hbase, Kafka, Zookeeper, Airflow, Elasticsearch, Redis, etc.
  • Experiences with AWS Big Data services are a plus.
  • Clear mind, with good business requirement understanding, analysis, abstraction, and system design capabilities.
  • Have a strong team collaboration attitude and develop partnerships with other teams and businesses.
  • Those who have experienced data volume above PB level in Internet companies and solve difficult production issues are preferred.
  • Be optimistic, able to adapt quickly to meet new challenges, and quick to respond to incidents

  • According to the company's data warehouse specifications and business understanding, build a universal and flexible data warehouse system that can quickly support the needs and reduce repetitive development work efforts.
  • Data model design, development, testing, deployment, online data job monitoring, and the ability to quickly solve complex problems, especially the optimization of complex calculation logic and performance tuning, etc.
  • Participate in Data governance, including the construction of the company’s metadata management system and data quality monitoring system.
  • Participate in technical team building and learning growth, and contribute to the team’s overall knowledge accumulation and skill improvement.

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