Design, optimize, and maintain RDBMS schemas and ETL pipelines to support mission-critical Power BI dashboards. Develop efficient SQL queries, stored procedures, and performance tuning. Collaborate with BI developers for data model integration, enforce data governance, and leverage Microsoft Fabric components to improve scalability and reporting reliability.
We are seeking a highly skilled SQL Developer to design, optimize, and maintain a robust Relational Database Management System (RDBMS) foundation that powers all high-stakes internal dashboards in Power BI. The ideal candidate will ensure data integrity, performance, and scalability across mission-critical reporting systems. Knowledge of Microsoft Fabric components will be a strong advantage.
Responsibilities🎯 Key Responsibilities
- Database design: Architect normalized and optimized schemas to support analytical workloads.
- SQL development: Write efficient queries, stored procedures, and functions for data processing and reporting.
- Performance tuning: Optimize queries, indexes, and execution plans to ensure high performance.
- ETL processes: Develop and maintain pipelines for data ingestion, transformation, and loading into reporting layers.
- Power BI integration: Collaborate with BI developers to ensure seamless connectivity and optimized data models.
- Data governance: Implement standards for data quality, security, and compliance.
- MS Fabric knowledge: Leverage Fabric components (e.g., Data Factory, Lakehouse, Warehouse) to enhance scalability and efficiency.
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
- 3–6 years of professional experience in SQL development and database management.
eClerx LLC Mumbai, Maharashtra, IND Office
Express Towers, 4th Floor, Ramnath Goenka Marg, Nariman Point, Mumbai, Maharashtra, India, 400021
eClerx LLC Navi Mumbai, Maharashtra, IND Office
Building # 11, 2nd, 3rd, 4th, 5th & 6th Floor, K Raheja Mindspace, Plot #3 TTC Industrial Area, Thane Belapur Road, Airoli, Navi Mumbai, India, 400708
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