Data Ops Engineer

4 weeks ago


Singapore TALENTSIS PTE. LTD. Full time
Roles & Responsibilities

Job Description:

  • Be part of a team to build and maintain data systems or pipelines.
  • Perform setup, installation, configuration, troubleshooting and/or upgrade for COTS products.
  • Develop or implement ways to improve data warehouses, data lakes or equivalent platforms.
  • Involvement in the creation of documentation e.g. design documents, troubleshooting guides etc.

Job Requirements:

  • Degree in Computer Engineering/Computer Science/Information Technology or related technical discipline.
  • Preferably 1 - 2 of working experience in related fields.
  • Fresh graduates are welcome to apply.
  • Knowledge and/or experience in data management or data engineering.
  • Experience with Linux commands and shell script.
  • Knowledge and/or experience in relational (including SQL) or NoSQL database (e.g. document, graph).
  • Knowledge and/or experience in one or more of the following will be an advantage: Data / Search / Automation platforms such as Hadoop, Elasticsearch, Ansible respectively.
    Data integration tools such as Talend, DataStage, Denodo.
    o Programming languages such as Python, Spark.
    o Microsoft Azure Cloud services such as Azure Data Factory, Azure Synapse Analytics.
    o Analytics platforms such as Databricks, Dataiku, Data Robot.
  • Good problem-solving skills.
  • Able to work independently and as a team.

Only shortlisted candidates will be notified.


Please email a copy of your detailed resume to drew@talentsis.com.sg for immediate processing.


(EA Reg No: 20C0312)


Tell employers what skills you have

Microsoft Azure
Talend
Factory
Troubleshooting
Kubernetes
Azure
Pipelines
Hadoop
Data Management
Data Integration
Data Engineering
Python
Cloud Services
Ansible
Linux
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