Role Senior Data Engineer – Business Intelligence Experience 5–8 Years Job Summary We are looking for an experienced Senior Data Engineer – Business Intelligence to design develop and optimize scalable Business Intelligence solutions ETL pipelines enterprise reporting platforms and analytics environments. The ideal candidate should have strong expertise in SQL ETL data modeling reporting and performance optimization along with experience delivering enterprise-grade BI solutions. Key Responsibilities Design develop maintain and optimize Business Intelligence solutions and ETL workflows. Build scalable data integration pipelines across on-premises and cloud environments. Develop and maintain data models SQL scripts stored procedures dashboards and enterprise reports. Collaborate with business analytics and technical teams to gather requirements and deliver reporting solutions. Perform data validation transformation and ensure reporting accuracy. Troubleshoot complex reporting data quality ETL and integration issues. Optimize SQL queries stored procedures ETL jobs and reporting performance. Participate in solution architecture discussions and recommend best practices. Create and maintain technical documentation data mappings and operational procedures. Conduct code reviews and enforce development and data governance standards. Mentor junior developers and support Agile delivery processes. Drive continuous improvements in reporting quality analytics performance and operational efficiency. ✅ Required Skills ✔ 5–8 years of experience in Data Engineering Business Intelligence or Enterprise Reporting. ✔ Strong expertise in SQL Stored Procedures and Query Optimization. ✔ Hands-on experience in ETL Development and Data Integration. ✔ Experience designing and maintaining Data Models and Enterprise Reporting Solutions. ✔ Strong knowledge of Business Intelligence and Analytics platforms. ✔ Experience with reporting dashboards and data visualization tools. ✔ Expertise in Performance Tuning for SQL queries ETL pipelines and reporting systems. ✔ Strong understanding of Data Quality Validation and Governance. ✔ Experience working in Cloud and On-Premises Data Environments. ✔ Familiarity with Agile/Scrum development methodologies. ✔ Excellent analytical troubleshooting and communication skills. Preferred Skills ➕ Experience with modern cloud data platforms (Azure AWS or GCP). ➕ Hands-on experience with Power BI Tableau SSRS or similar BI tools. ➕ Knowledge of Data Warehousing concepts and dimensional modeling. ➕ Experience with CI/CD and DevOps practices for Data Engineering. Pay ₹509112.05 - ₹1868195.23 per year Work Location Remote