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# Database Developer

- **Company:** Capgemini
- **Location:** Irving, TX, United States
- **Experience:** Expert
- **Salary:** $53,580.0 - $122,400.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Application Integration Architecture, Backup Devices, Databases, Data Infrastructure, Extract Transform Load (ETL), Data Mining, Data Retrieval, Data Warehousing, Database Development, Database Queries, Database Schema, Monitoring of Systems, Machine Learning, Microsoft SQL Server, Pattern Recognition, Performance Tuning, Query Optimization, Recommender Systems, Server Administration, SQL Stored Procedures, Data Streaming, Flexi (Photoshop Plugin), Database Optimization, Database Performance, Indexer, Information Technology
- **Published:** June 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e732e85dd689c9bf

## About the Role

Do you have experience in System tuning?, * Minimum of 5 years of experience in database schema design, development, and management

 * Database Administration & Performance Optimization (SQL Server, indexing, query tuning, backups)
 * Data Warehousing & ETL Management (SAGE DW, cubes, data extraction, ETL processes)
 * Reporting & SQL Development (complex queries, stored procedures, automated reporting)
 * System Monitoring & Troubleshooting (job monitoring, performance tracking, issue resolution)
 * AI/ML & Advanced Analytics (anomaly detection, predictive analytics, AI-driven optimization & dashboards)

## Description

Capgemini is looking for a highly skilled and experienced Software Engineer - Database Developer to join our outstanding Engineering team. As a Software Engineer - Database Developer, you will play an important role in maintaining and updating our databases, ensuring accurate data analysis and reporting. You will also collaborate with other team members to efficiently implement new queries, resolve any issues with automated jobs, and improve performance. More importantly, Leverage AI-driven techniques to automate error classification, enable predictive analytics for recurring issues, and deliver intelligent reporting, dashboards, and optimized data retrieval solutions., * Management of the data extractions from the SAGE Datawarehouse cubes (this requires, troubleshooting, maintenance and modifications as necessary)

 * Ensures that the servers hardware and software are updated (RARS mainly)
 * Making sure that the new drivers, plug-ins are updated. Make sure to run the maintenance services , keep the indexes up to day, adapt to the IT network changes, protection against virus, etc.
 * Monitoring of the performance of the hardware and software
 * Preserving data. Organize the data and secure backups
 * Changes to the server configuration as needed

Reporting (Error summary and system and shot reports):

 * Maintain both data bases: the internal reporting and the IB one
 * Update the look up tables for new errors and new classification of errors per weight and functional category
 * Update the cubes to allow queries that are required to analyze the data
 * Create new queries that allow to get the necessary reports from the existing cubes (internal testing and install base)
 * Monitor and troubleshooting of the daily automated jobs to run the reports.
 * Work with other resources when there are issues or modification are needed with the SAGE DW interface
 * Pre-emptive maintenance, look for data clogs and issue on the reports generation
 * Update the stored procedures for the excel reports with new errors, remove previous ones, add system info, etc
 * Apply AI/ML-driven tools and techniques for:
 * Database performance optimization (query tuning, indexing strategies, workload prediction)
 * Intelligent anomaly detection in system performance and data flows
 * Predictive maintenance of database infrastructure

AI Integration in Reporting:

 * Leverage AI techniques for:
 * Automated error classification and pattern detection
 * Predictive analytics for identifying recurring system/reporting issues
 * Intelligent report generation and recommendation systems
 * Build and maintain smart dashboards with predictive insights and anomaly alerts.
 * Use AI-assisted tools to optimize report queries and improve data retrieval efficiency.


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