Senior Data Migration Engineer: SQL Server & Legacy

EPAM Systems

United States

On-site

USD 115,000 - 155,000

Full time

2 days ago
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Job summary

EPAM Systems seeks a Senior Software Engineer to drive a platform migration, leveraging deep expertise in Microsoft SQL Server and Sybase to move large datasets and validate data integrity. You will reverse-engineer legacy systems, map complex data models, and implement robust migration solutions in a fast-paced, Agile environment.

The role emphasizes data transformation, analytical problem solving, and collaboration with business analysts and engineers to ensure accurate, scalable migration

Qualifications

  • ,

Responsibilities

  • Lead and contribute to end-to-end migration of index configurations and historical data
  • Analyze existing index configurations and data structures to define migration strategy
  • Translate and convert configurations across data models while maintaining data integrity
  • Leverage SQL Server and Sybase to move large-scale datasets and validate results
  • Perform data validation and reconciliation to ensure completeness and accuracy of migrated data
  • Write efficient, scalable SQL queries, stored procedures, and data transformation processes
  • Investigate legacy systems to understand data flows and processing
  • Collaborate with analysts, engineers and stakeholders to clarify requirements and resolve roadblocks
  • Contribute to automation, testing, and optimization of migration processes while sharing knowledge

Skills

SQL
Data analysis
Data migration
Data transformation
Relational databases
Problem solving
Agile
Communication

Tools

Microsoft SQL Server
Sybase

Job description

EPAM Systems seeks a Senior Software Engineer to drive a platform migration, leveraging deep expertise in Microsoft SQL Server and Sybase to move large datasets and validate data integrity. You will reverse-engineer legacy systems, map complex data models, and implement robust migration solutions in a fast-paced, Agile environment.

The role emphasizes data transformation, analytical problem solving, and collaboration with business analysts and engineers to ensure accurate, scalable migration

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