• Design, develop, and maintain scalable data transformation and analytics pipelines using Snowflake, SQL, Python, and dbt. • Perform data extraction, cleansing, preprocessing, validation, and transformation from multiple data sources. • Develop complex and optimized SQL queries, stored procedures, views, and data models in Snowflake. • Build and maintain dbt models, macros, tests, snapshots, and documentation following analytics engineering best practices. • Use Python for data preprocessing, automation, data validation, and analytical workflows. • Develop and maintain Tableau dashboards, reports, visualizations, and KPI reporting for business stakeholders. • Translate business requirements into effective data models, metrics, dashboards, and analytical solutions. • Perform data profiling and quality checks to ensure accuracy, completeness, consistency, and reliability of reporting data. • Optimize SQL queries, Snowflake workloads, dbt models, and Tableau dashboards for performance. • Collaborate with Business Analysts, Data Engineers, Data Scientists, and business stakeholders to understand reporting and analytics requirements. • Troubleshoot data and reporting issues and provide root-cause analysis. • Establish reusable data transformation and reporting frameworks to improve scalability and maintainability. • Ensure proper documentation of data sources, transformations, business rules, and reporting logic. Requirements • 6+ years of overall experience in Analytics Engineering, Data Engineering, BI, or a related role. • Strong hands-on experience with Snowflake and advanced SQL. • Strong Python experience for data preprocessing, transformation, automation, and validation. • Hands-on experience with dbt for data transformation and analytics engineering. • Strong experience in Tableau dashboard and report development. • Experience working across data preprocessing → transformation → data modeling → BI reporting. • Strong understanding of ETL/ELT concepts, dimensional modeling, and data warehousing. • Good understanding of data quality, governance, and performance optimization. • Strong analytical and problem-solving skills with the ability to work directly with business stakeholders.