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Senior Staff Data Lake Engineer (714893

Job in Santa Clara, Santa Clara County, California, 95050, USA
Listing for: Netpace Inc
Full Time position
Listed on 2026-08-05
Job specializations:
  • Software Development
    Data Engineering
Job Description & How to Apply Below
Position: Senior Staff Data Lake Engineer (714893)

Huawei Data Lake Cloud Services Developer

As a core member, you will be part of the team that focuses on the next generation Huawei Data Lake Cloud Services.

Your primary responsibility includes designing and developing:

  • Distributed storage and query engine for heterogeneous data sources, including graph databases, key/value store, high performance parallel computing, data consistency and durability, data access path memory and I/O optimization, and query execution.
  • Data lake storage subsystem that provides low latency and high throughput for bulk data ingestion and point query, particularly large scale graph data.
  • Algorithms for analyzing query workload and intelligently managing the storage subsystem on optimizing the various system components. The goal is a complete autonomous system.
  • Big data tools that facilitate various consumers (users or programs), in terms of optimizing or automating the system.
  • The metadata module, data governance and security for the data lake cloud services.

This position requires carrying out exploratory work to deliver project results so we are looking for candidates who had designed software to solve a problem and is of good coding skills; our team is small so the contractor is expected to be a self-starter to handle design and implementation of the project from start to finish to meet the goal.

Requirements:

  • MS or higher degree in Computer Science or related field
  • 5+ years of software development experience
  • Demonstrable experience in both designing and implementing complex software components.
  • Excellent coding skills in Java or C++
  • Hands-on experience in any of Big Data Components/Frameworks, such as Hadoop, Spark, HBase, HDFS, Hive, No

    SQL, and Relational databases.
Position Requirements
10+ Years work experience
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