Legacy Modernization Specialist

• Contribute to modernization initiatives by migrating legacy data systems to modern platforms such as PySpark and cloud-based architectures
• Design, develop, and optimize data pipelines using PySpark, SQL, and BigQuery
• Perform data migration activities including data validation, reconciliation, and gap analysis
• Ensure high data quality through rigorous validation and issue resolution processes
• Work closely with onshore and offshore teams to drive project delivery and ensure alignment
• Participate in client discussions, validation reviews, and requirement clarifications
• Support production activities including troubleshooting, monitoring, and resolving issues within SLA
• Analyze and troubleshoot batch job failures and system issues in mainframe environments
• Contribute to automation initiatives to reduce manual efforts and improve efficiency
• Provide data analysis and reporting support for business stakeholders

Required Skills & Experience

Core Technical Skills:

• Strong experience in PySpark, SQL, and BigQuery
• Experience working on data pipeline development and ETL processes
• Hands-on experience with Mainframe technologies (COBOL, JCL, CICS)
• Knowledge of Hive and large-scale data processing frameworks
• Experience with data migration and system modernization projects

 

 

Soft Skills & Attributes

• Strong ownership mindset with ability to drive tasks end-to-end
• Good communication skills with experience working in global teams
• Ability to manage multiple priorities and deliver within timelines
• Problem-solving mindset with attention to detail
• Comfortable working in client-facing roles

Education

• Bachelor’s degree in Computer Science, IT, or related field