Application Engineer

2 days ago

Penang, Malaysia Career Wise Full time 60,000 - 120,000 per year


Key Responsibilities:

  1. Customer Onboarding & Support
    • Guide new clients through the onboarding process, ensuring smooth adoption of our data analytics solutions.
    • Provide technical assistance during and after the onboarding phase to ensure a successful implementation.
    • Act as a primary point of contact for addressing client queries and resolving technical issues.
  2. Technical Expertise & Implementation
    • Work closely with clients to understand their business processes, data structures, and technical needs.
    • Configure, customize, and deploy data analytics applications to meet client requirements.
    • Develop and optimize scripts, queries, and tools to support data pipelines and workflows.
  3. Bug Fixing & Troubleshooting
    • Investigate, diagnose, and resolve software bugs or system malfunctions reported by clients or identified internally.
    • Collaborate with the development team to deploy patches or updates to address technical issues.
  4. Application Monitoring & Maintenance
    • Monitor application performance to proactively identify and address potential issues.
    • Ensure system uptime and reliability through regular health checks and performance tuning.
    • Maintain best practices for application configuration, monitoring, and documentation.
  5. Collaboration & Product Development Input
    • Work closely with the product and development teams to provide feedback on potential enhancements or new features based on client feedback.
    • Test and validate new features or upgrades to ensure seamless performance.

Job Qualifications:

  1. Education & Experience
    • Bachelors degree in Computer Science, Engineering, Data Science, or a related field.
    • Computer Science Diploma holders with some experience are encouraged to apply.
  2. Technical Skills
    • Strong understanding of data analytics tools, platforms, and concepts (e.g., ETL, data visualization, machine learning).
    • Familiarity with APIs, cloud services (Azure).
    • Experience with relational and non-relational databases (e.g., MySQL, PostgreSQL, MongoDB).
  3. Soft Skills
    • Excellent problem-solving and analytical abilities.
    • Strong communication skills, with the ability to translate technical concepts into laymans terms.
    • Proven ability to work collaboratively in a team-oriented environment.
  4. Preferred Skills
    • Familiarity with business intelligence tools (e.g., Tableau, Power BI, Looker).
    • Experience in agile development environments.
    • Knowledge of machine learning frameworks or libraries is a plus.

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