Full Stack Analytics Engineer/ Data Engineer (Snowflake, Python, dbt, Tableau)

<ul>
<li>Design, develop, and maintain scalable<strong>data transformation and analytics pipelines</strong>using Snowflake, SQL, Python, and dbt.</li>
<li>Perform<strong>data extraction, cleansing, preprocessing, validation, and transformation</strong>from multiple data sources.</li>
<li>Develop complex and optimized<strong>SQL queries, stored procedures, views, and data models</strong>in Snowflake.</li>
<li>Build and maintain<strong>dbt models, macros, tests, snapshots, and documentation</strong>following analytics engineering best practices.</li>
<li>Use<strong>Python</strong>for data preprocessing, automation, data validation, and analytical workflows.</li>
<li>Develop and maintain<strong>Tableau dashboards, reports, visualizations, and KPI reporting</strong>for business stakeholders.</li>
<li>Translate business requirements into effective<strong>data models, metrics, dashboards, and analytical solutions</strong>.</li>
<li>Perform data profiling and quality checks to ensure<strong>accuracy, completeness, consistency, and reliability</strong>of reporting data.</li>
<li>Optimize SQL queries, Snowflake workloads, dbt models, and Tableau dashboards for performance.</li>
<li>Collaborate with Business Analysts, Data Engineers, Data Scientists, and business stakeholders to understand reporting and analytics requirements.</li>
<li>Troubleshoot data and reporting issues and provide root-cause analysis.</li>
<li>Establish reusable data transformation and reporting frameworks to improve scalability and maintainability.</li>
<li>Ensure proper documentation of data sources, transformations, business rules, and reporting logic.</li>
</ul><h2>Requirements</h2><ul>
<li>
<strong>6+ years of overall experience</strong>in Analytics Engineering, Data Engineering, BI, or a related role.</li>
<li>Strong hands-on experience with<strong>Snowflake and advanced SQL</strong>.</li>
<li>Strong<strong>Python</strong>experience for data preprocessing, transformation, automation, and validation.</li>
<li>Hands-on experience with<strong>dbt</strong>for data transformation and analytics engineering.</li>
<li>Strong experience in<strong>Tableau</strong>dashboard and report development.</li>
<li>Experience working across<strong>data preprocessing → transformation → data modeling → BI reporting</strong>.</li>
<li>Strong understanding of<strong>ETL/ELT concepts, dimensional modeling, and data warehousing</strong>.</li>
<li>Good understanding of data quality, governance, and performance optimization.</li>
<li>Strong analytical and problem-solving skills with the ability to work directly with business stakeholders.</li>
</ul>