Sr. Software Engineer - QlikSense (Qlikview) Job

3-5 Years

• Proven Experience: -Candidates who have a strong track record of working with Qlik Sense and have successfully delivered projects/enhancements involving data modelling, dashboard design, and data integration.
• Technical Proficiency: -Individuals who are proficient in Qlik Sense scripting, data modelling, and the development of interactive visualizations and dashboards. Familiarity with Qlik Sense extensions and connectors would be an added advantage.
• Analytical Skills: -Developers who demonstrate a deep understanding of data analysis concepts and possess the ability to translate business requirements into effective data visualizations and insights.
• Collaboration and Communication: -Candidates who can effectively collaborate with cross-functional teams, communicate complex ideas in a clear manner, and provide guidance and support to other team members.

Domain/ Industry Knowledge:

• Basic knowledge of customers business processes- relevant technology platform or product.
• Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members.

Requirement Gathering and Analysis:

• Working knowledge of requirement management processes and requirement analysis processes, tools and methodologies.
• Able to analyse the impact of change requested / enhancement / defect fix and identify dependencies or interrelationships among requirements and transition requirements for the engagement.

Product/ Technology Knowledge:

• Working knowledge of technology product/platform standards and specifications.
• Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation.
• Analyse various frameworks/tools, review the code and provide feedback on improvement opportunities.

Architecture tools and frameworks:

• Basic knowledge of architecture Industry tools & frameworks
• Able to analyse available tools and frameworks for review by the SME and plan for tool configurations and development.

Architecture concepts and principles:

• Basic knowledge of architectural elements, SDLC, methodologies.
• Able to apply various architectural constructs in the projects and identify various architectural patterns and implement.

Analytics Solution Design:

• High-level awareness of a wide range of core data science/analytics techniques, their advantages, disadvantages, and areas of application.

Tools & Platform Knowledge:

• Familiar with wide range of mainstream commercial and open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application.

Accountability:

• Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team.

Collaboration:

• Participates in team activities and reaches out to others in team to achieve common goals.

Agility:

• Demonstrates a willingness to accept and embrace differing ideas or perceptions which are beneficial to the organization.

Customer Focus:

• Displays awareness of customers stated needs and gives priority to meeting and exceeding customer expectations at or above expected quality within stipulated time.

Communication:

• Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision.

Drives Results:

• Sets realistic stretch goals for self & others to achieve and exceed defined goals/targets.