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Platform Engineer - Data Exploration Platform Management

See all open roles at centre for strategic infocomm technologies

Ghost-risk verdict

Some ghost-posting signals

  • open for 443 days (90+ without a fill is a strong ghost signal)
  • 68 open roles at this company in 30 days (mass-hiring blitz)
  • no salary disclosed (correlates with ghost postings)

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About the role

Role

We are seeking an experienced engineer to join our team, responsible for managing and optimizing our Data Exploration Platform. The successful candidate will be responsible for ensuring the resiliency, stability, security and performance of our platform, as well as providing technical expertise to support the development of data analytics and visualizations solutions.

Responsibilities

Develop and deploy reliable, scalable and secure Data Exploration Platform solutions

Manage the platform, including upgrades, patches, configuration changes, system resource allocation and utilization

Optimize the performance of our platform, including troubleshooting and resolving issues related to data processing and query performance

Identify opportunities for process improvements and implement changes to optimize the use of our platform.

Ensure the security and compliance of our platform, including implementing and enforcing data access controls, authentication and authorization.

Provide technical expertise and support to our stakeholders, including training and guidance on the use of our platform.

Identify technology and system pitfalls and bring industry standards and best practices to the team

Requirements (Minimum Qualifications)

Background in Computer Engineering, Computer Science or equivalent experience

Good Knowledge of data science and machine learning concepts and tools, such as Python, R, or SQL.

Good understanding of data modelling, data architecture, and data quality principles.

Experience with agile development methodologies, such as Scrum or Kanban.

Competent in programming languages such as Scala, Python, Java

Competent in using DevOps tools and CI/CD pipelines effectively

Nice to Have

Good technical skills in areas such as data warehousing, ETL, data governance, and data visualization.

Experience with cluster management and DevOps tools (e.g. Ansible, Kubernetes)

Experience working in an agile and innovative environment

Experience in distributed systems

Experience with cloud-based analytics platforms, such as AWS or Azure.

Experience with Tableau Server, including design, implementation, and maintenance.

Why join us?

The work is purposeful and meaningful

You will work with the best engineers

We work with modern technologies and tech stacks

We have excellent engineering culture and work-life balance

We aspire to engineering and operational excellence

We empower to innovate

We grow together as a family

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