Senior Data Engineer (Tableau)

Job description

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 - **Role & 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 o 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**!*