We are looking for talents with skills and interests as Big Data Engineer who will join us to develop enterprise scale solution assets. In the AI era, data are essential to all kinds of application innovations, e.g. IT management automation with pro-active sense and respond, online user intention discovery and personalized services, non-stop robotic manufacturing etc. Big Data Management is a critical stage towards digging out insightful info from the new oil. There needs solid knowledge of data variety, dealing with large volume of data with scalable architecture design etc.
There will be needs of working at client-sites or traveling domestically and internationally on demand.
English communication is required for collaborating with global stakeholders and team. The candidate's job responsibilities include:
- Understand technical requirements based on written or verbal communications.
- Develop, test and maintain adaptable data management systems.
- Apply DevOps methodology and tools.
- Apply state-of-the-arts Big Data technologies.
The ideal candidate will have solid knowledge of Big Data technologies and experiences of Big Data application development & management.
*Required Professional and Technical Expertise
- Solid experiences (design and build data processing pipelines) of ETL by structured and non-structured DBMS technologies.
- Experiences of operationalizing machine learning models.
- Experiences of BI application development and maintenance.
- Experiences of GCP: DataProc, DataFusion, DataFlow, BigQuery, BigTable, Pub/Sub, GKE, Piper Framework.
- Experiences of Python, Spark, PySpark, Hadoop, Hive, HBase, NiFi.
- Good analytical and problem-solving skills.
- Quick learner of state-of-the-arts Big Data technologies.
- Excellent teamwork, knowledge sharing and communication skills.
*Preferred Professional and Technical Expertise
- CS related disciplines is a plus.
- Linux shell commands and hypervisors, such as VMWare, KVM, or Xen is a plus.
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