Legacy Modernization Specialist

Zensar Technologies; Burgess Hill; On-site; GBP 40,000 - 60,000; Full time

Job summary

Zensar Technologies is hiring for a role focused on modernizing legacy data systems and developing efficient data pipelines using PySpark, SQL, and BigQuery. The ideal candidate will ensure high data quality while collaborating closely with onshore and offshore teams and supporting production activities.

Successful applicants will possess a Bachelor's degree in a relevant field and demonstrate strong experience in data pipeline development and Mainframe technologies. Join an inclusive workplace committed to equal employment opportunities.

Qualifications

• Strong experience in PySpark, SQL, and BigQuery.
• Experience working on data pipeline development and ETL processes.
• Hands‑on experience with Mainframe technologies.

Responsibilities

• Contribute to modernization initiatives by migrating legacy data systems.
• Design, develop, and optimize data pipelines using PySpark and SQL.
• Ensure high data quality through rigorous validation.

Skills

PySpark

SQL

BigQuery

Mainframe technologies (COBOL, JCL, CICS)

Data pipeline development

Education

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

Job description

Job Description

• 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

• 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

Qualifications

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

We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.