QlikSense Architect

Hi All,
We are hiring Qlik Sense Architect - Certification Mandatory . Details are below.
If JD matches your profile kindly revert with your updated profile.
E xp : 15+ Years
Location: Chennai
Job Description:
We are seeking a highly skilled and certified Qlik Sense Architect to join our dynamic team in Chennai. The ideal candidate will have extensive experience working with large volumes of data and possess strong knowledge of Google Cloud Platform (GCP) and BigQuery. This role requires excellent communication skills, as you will be expected to interact with the leadership team and provide insights to drive business decisions.
Key Responsibilities:
Design, develop, and implement Qlik Sense solutions to meet business requirements.
Collaborate with stakeholders and leadership to understand data needs and provide strategic insights.
Manage and optimize large datasets to ensure efficient and effective data processing and reporting.
Integrate Qlik Sense with GCP and BigQuery, leveraging cloud capabilities to enhance data analytics solutions.
Lead the architecture and design of data models and visualization strategies.
Ensure best practices in data governance, security, and compliance are adhered to in all Qlik Sense projects.
Conduct performance tuning and optimization of Qlik Sense applications to enhance user experience.
Provide technical guidance and mentorship to team members on Qlik Sense and data analytics.
Qualifications:
Qlik Sense certification is required.
Proven experience as a Qlik Sense Architect, with a strong portfolio of projects involving large datasets.
Expertise in Google Cloud Platform (GCP) and BigQuery is essential.
Experience in Qlik Saas, SAP BO, Visualization is must.
Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
Excellent communication and interpersonal skills to effectively interact with leadership and stakeholders.
Ability to work independently and collaboratively in a fast-paced environment.
Preferred Skills:
Experience in other BI tools and data analytics platforms.
Familiarity with data warehousing concepts and practices.
Understanding of data integration and ETL processes.

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