Senior Data Engineer (Tableau)

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.