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Microsoft SQL Server Developer

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Job Description - Microsoft SQL Server Developer

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
  1. SQL Development & Optimization
    1. Design, develop, and optimize T -SQL code (stored procedures, triggers, views, indexes).
    2. Apply AI -assisted query optimization and intelligent indexing for performance improvements.
    3. Ensure scalability and reliability of databases handling high -volume BFSI transactions.
  2. Database Architecture & Data Management
    1. Redesign and optimize database schemas for analytics and performance.
    2. Build and maintain data pipelines (ETL/ELT) integrating SQL Server & Snowflake.
    3. Implement AI -driven data quality checks and anomaly detection frameworks.
  3. Data Analytics & Insights
    1. Conduct advanced data analysis to identify trends, risks, and opportunities.
    2. Build predictive and prescriptive models using SQL + AI integration (Python/R).
    3. Define and track business KPIs in collaboration with stakeholders.
  4. Business Intelligence & Reporting
    1. Deliver executive dashboards for credit risk, loan portfolios, customer analytics, and collections.
    2. Automate reporting cycles for regulatory and business requirements.
    3. Partner with business users to translate requirements into insightful reports.
  5. Administration & Automation
    1. Manage backups, recovery, upgrades, and migrations.
    2. Use AI and automation for monitoring, alerting, and performance optimization.
    3. Reduce repetitive DBA workload through scripting and intelligent workflows.
  6. Collaboration & Mentorship
    1. Act as a bridge between data engineering and analytics teams.
    2. Mentor junior developers/analysts in SQL, BI, and AI adoption.
    3. Document SQL and analytics workflows for knowledge management.


Requirements

Required Skills & Experience
  • 4 -5 years of experience in MS SQL Server development, architecture, and BI analytics.
  • Expertise in T -SQL, query tuning, schema design, and performance optimization
  • Experience in data analysis, predictive modeling, and reporting.
  • Proficiency with ETL/ELT tools (SSIS, ADF, dbt, or equivalent).
  • Familiarity with AI/ML integration into data workflows (Python/R preferred).
  • Hands -on experience with Snowflake or modern cloud data warehouses.
  • Knowledge of data governance, compliance, and security standards (especially in BFSI).


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