Job Openings
Application Engineer
About the job Application Engineer
Key Responsibilities:
- 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.
- 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.
- 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.
- 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.
- 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:
- 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.
- 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).
- 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.
- 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.