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.