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Data Analytics
Post Sales (Technical and Support)/Direct HireCLIENT SUMMARY
Our client is a Singapore-based solution provider with years of experience in providing secure, reliable and state-of-the-art security solution.
RESPONSIBILITIES
• Contribute to the development and maintenance of robust data systems and pipelines.
• Responsible for setup, installation, configuration, troubleshooting, and upgrades of COTS products.
• Enhance data warehouses, data lakes, or similar platforms and participate in documentation creation including design documents and troubleshooting guides.
REQUIREMENTS
• Experience or knowledge in data management or data engineering
• Proficiency with Linux commands and shell scripting
Familiarity with relational (e.g., SQL) or NoSQL databases (e.g., document, graph)
• Advantageous to have experience with:
Data/Search/Automation platforms (e.g., Hadoop, Elasticsearch, Ansible)
• Data integration tools (e.g., Talend, DataStage, Denodo)
Programming languages (e.g., Python, Spark)
• Microsoft Azure Cloud services (e.g., Azure Data Factory, Azure Synapse Analytics)
• Analytics platforms (e.g., Databricks, Dataiku, DataRobot)
• Strong problem-solving skills
• Ability to work both independently and collaboratively within a team
Education:
• Diploma/Degree in Computer Engineering/Computer Science/Information Technology or related technical discipline
• Preferably 1 - 4 years of working experience in related fields.
• Fresh graduates are encouraged to apply
Our client is a Singapore-based solution provider with years of experience in providing secure, reliable and state-of-the-art security solution.
RESPONSIBILITIES
• Contribute to the development and maintenance of robust data systems and pipelines.
• Responsible for setup, installation, configuration, troubleshooting, and upgrades of COTS products.
• Enhance data warehouses, data lakes, or similar platforms and participate in documentation creation including design documents and troubleshooting guides.
REQUIREMENTS
• Experience or knowledge in data management or data engineering
• Proficiency with Linux commands and shell scripting
Familiarity with relational (e.g., SQL) or NoSQL databases (e.g., document, graph)
• Advantageous to have experience with:
Data/Search/Automation platforms (e.g., Hadoop, Elasticsearch, Ansible)
• Data integration tools (e.g., Talend, DataStage, Denodo)
Programming languages (e.g., Python, Spark)
• Microsoft Azure Cloud services (e.g., Azure Data Factory, Azure Synapse Analytics)
• Analytics platforms (e.g., Databricks, Dataiku, DataRobot)
• Strong problem-solving skills
• Ability to work both independently and collaboratively within a team
Education:
• Diploma/Degree in Computer Engineering/Computer Science/Information Technology or related technical discipline
• Preferably 1 - 4 years of working experience in related fields.
• Fresh graduates are encouraged to apply
JOB ID: 2124
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