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Senior Database Engineer (Sybase)

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Onsite

Senior Database Engineer (Sybase)

Luxoft

Senior Database Engineer (Sybase)

Skills

SQL QueriesPythonAICompliance

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹2,000,000 – ₹2,500,000 / year

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

1 September 2026

What they need


Role & responsibilities

  • Responsibilities:• Design and deliver a complex database implementation projects supporting the implementation of our vendor product, LoanIQ.
    • Execute complex database migration and upgrade projects on Sybase.
    • Design, develop, and optimize SQL queries, stored procedures, and database objects for Sybase.
    • 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.
  • Mandatory Skills Description:• 8+ years of hands-on experience with, and in-depth knowledge of, Sybase.
    • Strong hands-on experience with Sybase database platforms.
    • 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 Skills Description:• 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.

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