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*!*