Quantiphi Analytics Solution Pvt Ltd
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Bengaluru · On-site · 3-6 Yrs · Aug 23
Business consulting · 1001 to 5000 Employees · Marlborough, US
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantiphi-able business results.
Hiring: Engineering
What employees say
+ Well organized company Very professional environment
− I just joined, so i don’t have much experience.
More reviews on the company profile.
Interview experience · Software Engineer
first they take the aptitiude round. which is quite difficult , if you selected for the analyst role then gd will happen continue with 2 technical intervew and the HR .
Average difficulty · Pune · 661 reports
More interview insightsJob description
Overview
Senior Data Engineer (Tableau) While technology is the heart of our business, a global and diverse culture is the heart of our success.
Responsibilities
- Work location: Mumbai & Bangalore Roles & Responsibilities.
- Develop visual reports, dashboards and KPI scorecards using Tableau Connect to data sources, import data, and transform data for Business Intelligence Turn data into easy to understand visual insights that are aligned to business objectives Enable visual storytelling through Tableau Publish dashboards and data sources to Tableau server
- Automate data pipelines and schedule refreshes for dashboards
- Provide research, high-level design, and estimates for data transformation and data integration from source applications to end-user BI solutions.
- Develop tabular and multidimensional models that are compatible with warehouse standards
- Provide technical expertise in areas of architecture, design, and implementation for databases
- Design, develop and maintain ETL workflows and mappings using the appropriate data load technique
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