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Senior Data Engineer (Tableau) @ Quantiphi

3 LocationsOnsiteFull-time
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About this role

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Senior Data Engineer (Tableau) Experience Level: 3 to 5 Years 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

• Work with business users and other stakeholders to understand business processes. Identify and implement data transformation/cleansing requirements.

• Write and review technical documents, including requirements and design documents for existing and future data systems/ BI solutions, as well as data standards and policies

Must have skills:

• 4+ years’ of experience in design, development and deployment of Tableau Dashboards

• Experience with complex Tableau concepts required in meeting difficult client requirements and building advanced visualizations

• Experience in design, architecture and implementation of Data warehouses, data pipelines and flows

• Strong SQL experience and ability to write complex queries and stored procedures o Good understanding of data modelling concepts and data analysis

• Strong knowledge of Data Warehousing concepts

• Hands-on experience in Python

• Leadership qualities

• Ability to lead technology teams and provide them mentorship / support to accelerate performance.

• Experience in leading multiple large projects as well as a deep understanding of Agile developments

• Effective communication with all the stakeholders involved.

• Communicate clearly about complex subjects and technical plans with technical and non technical audiences.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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