Microsoft SQL Server Developer

12 hours ago

Hyderabad, Telangana, India TekFriday Processing Solutions Pvt Ltd Full time

We are seeking a highly skilled data professional with expertise in Microsoft SQL Server development, database architecture, and advanced data analytics. This role combines strong SQL/database engineering with business intelligence and analytics capabilities, leveraging AI-driven tools to enhance efficiency, accuracy, and decision making across the organization. You will be responsible for designing and optimizing large-scale database systems while also building analytics. Solutions (dashboards, predictive models, insights) that directly support business strategy.

Key Responsibilities

  • SQL Development & Optimization

  • Design, develop, and optimize T-SQL code (stored procedures, triggers, views, indexes).

  • Apply AI-assisted query optimization and intelligent indexing for performance improvements.

  • Ensure scalability and reliability of databases handling high-volume BFSI transactions.

  • Database Architecture & Data Management

  • Redesign and optimize database schemas for analytics and performance.

  • Build and maintain data pipelines (ETL/ELT) integrating SQL Server & Snowflake.

  • Implement AI-driven data quality checks and anomaly detection frameworks.

  • Data Analytics & Insights

  • Conduct advanced data analysis to identify trends, risks, and opportunities.

  • Build predictive and prescriptive models using SQL + AI integration (Python/R).

  • Define and track business KPIs in collaboration with stakeholders.

  • Business Intelligence & Reporting

  • Deliver executive dashboards for credit risk, loan portfolios, customer analytics, and collections.

  • Automate reporting cycles for regulatory and business requirements.

  • Partner with business users to translate requirements into insightful reports.

  • Administration & Automation

  • Manage backups, recovery, upgrades, and migrations.

  • Use AI and automation for monitoring, alerting, and performance optimization.

  • Reduce repetitive DBA workload through scripting and intelligent workflows.

  • Collaboration & Mentorship

  • Act as a bridge between data engineering and analytics teams.

  • Mentor junior developers/analysts in SQL, BI, and AI adoption.
  • Document SQL and analytics workflows for knowledge management.

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