Data Platform Engineer - Tableau

Role Overview: You will be responsible for designing, building, and maintaining a robust data platform as a Data Platform Engineer (Tableau Analytics) at a rapidly growing SaaS product company. Your main focus will be on data engineering, analytics modeling, and dash boarding, particularly using Tableau, Power BI, and SQL-based data warehouses like Snowflake. Your role will involve creating data pipelines, modeling datasets, and optimizing analytics workflows to provide actionable insights to business teams. Key Responsibilities: - Develop and maintain scalable data pipelines for ingestion, transformation, and storage using Snowflake and dbt. - Design, optimize, and maintain data models to support Tableau and Power BI analytics. - Create interactive dashboards and reports in Tableau and Power BI for enabling data-driven decisions by business stakeholders. - Collaborate with stakeholders to define data requirements and implement solutions for driving business impact. - Enhance data quality, governance, and lineage through best practices in data orchestration, testing, and monitoring. - Optimize SQL queries and performance for analytical workloads across relational and NoSQL databases. - Implement best practices in version control, CI/CD, and automation for data workflows. - Evaluate and integrate new data engineering tools and technologies to enhance platform scalability and efficiency. - Collaborate with analytics teams to develop self-serve data products for improved accessibility to insights. Qualifications Required: - 6-8 years of experience in roles such as Data Engineer, Data Analyst, Data Scientist, or Analytics Engineer. - Bachelor's degree in Computer Science, Physics, Math, Economics, or a related field. - Proficiency in SQL-based data warehouses like Snowflake or similar platforms. - Strong experience in data modeling using dbt (data build tool). - Hands-on experience with Tableau and Power BI, including dashboard and report creation. - Experience in data engineering workflows including ETL/ELT, data ingestion, transformation, and publishing. - Proficiency in writing and optimizing SQL queries across relational and NoSQL databases. - Familiarity with data governance, lineage, orchestration, and quality monitoring. - Experience with version control (Git), CI/CD workflows, and automated testing. - Strong problem-solving skills, a growth mindset, and the ability to work in a fast-paced environment. - Ability to translate business needs into scalable data solutions and collaborate effectively with technical and non-technical stakeholders. (Note: Additional details about the company were not provided in the job description.),