Senior Database Engineer (Azure SQL)

Luxoft; Pune District; Sur place; INR 1 800 000 - 2 800 000; Plein temps

Résumé du poste

Luxoft in Pune, India seeks a Senior Database Engineer to lead the LoanIQ database design and delivery. You will mentor developers, drive cloud-native patterns, and ensure scalable, high-quality data solutions aligned with strategic goals.

You will design complex SQL objects, optimize queries, and manage ETL processes while collaborating with cross-functional teams. AI-assisted development and cloud best practices will be integral to the workflow.

Qualifications

• 8+ years hands-on experience with Azure SQL and cloud services.
• Proven ability to develop complex SQL queries, procedures, and functions.
• Experience with data integration, ETL tools, and methodologies.
• Strong problem-solving and troubleshooting skills.

Responsabilités

• Design and deliver a complex database implementation projects supporting the LoanIQ deployment.
• Design, develop, and optimize SQL queries, stored procedures, and database objects for Azure SQL environments.
• Collaborate with business analysts, data architects, and developers to translate requirements into scalable database solutions.
• Ensure database performance, reliability, and scalability through optimization, monitoring, and troubleshooting.
• Implement and maintain data integration strategies, including ETL processes.
• Maintain comprehensive documentation of database designs, migration processes and changes.
• Leverage AI-assisted development tools to accelerate code, test, and debug workflows.
• Promote AI-based engineering practices and cloud best practices within the team.

Connaissances

Azure SQL

Azure cloud

SQL optimization

ETL development

Troubleshooting

Outils

Azure Data Factory

SQL Server

Description du poste

Project description

As a Senior Database Engineer in the Global Loans domain, you will drive the design and delivery of the LoanIQ database implementation. You will lead the technical implementation, mentor other developers and leverage modern AI-assisted development tools and cloud-native patterns to enhance productivity, code quality, scalability, and delivery speed. You will also lead the design and delivery of our in-house database development supporting integration with upstream and downstream systems, whilst collaborating with cross-functional teams to integrate, manage, and optimize database systems, delivering high-quality data solutions that support our strategic business goals and technical roadmap.

Responsibilities

• Design and deliver a complex database implementation projects supporting the implementation of our vendor product, LoanIQ.
• Design, develop, and optimize SQL queries, stored procedures, and database objects for Azure SQL environments.
• Collaborate with business analysts, data architects, and developers to translate business requirements into effective, scalable database solutions.
• Ensure database performance, reliability, and scalability through rigorous optimization, monitoring, and troubleshooting.
• Implement and maintain data integration strategies, including ETL processes, to support Global Loan products and operations.
• Maintain comprehensive documentation of database designs, migration processes, and changes to support transparency and compliance.
• Leverage AI-assisted development tools to accelerate code, test, & debug workflows.
• Promote AI-based engineering practices & cloud best practices within the team.

SKILLS

Must have

• 8+ years of hands-on experience with, and in-depth knowledge of, Azure SQL.
• Strong hands-on experience with Azure cloud services, including Azure SQL Database and related tools.
• Demonstrated ability to develop complex SQL queries, stored procedures, and functions.
• Experience with data integration, ETL tools, and methodologies.
• Excellent problem-solving skills with a keen ability to troubleshoot and resolve database issues.

Nice to have

• Familiarity with additional database technologies or platforms.
• Experience with cloud-based data warehousing solutions.
• Knowledge of finance and global loans systems.
• Skills in scripting languages (e.g., Python, Shell) for automation and data processing.
• Experience working in global, diverse teams.
• Knowledge of LoanIQ.