At a Glance
- Tasks: Join us in modernising legacy systems and optimising data pipelines with cutting-edge tech.
- Company: Zensar, a global leader in digital solutions, committed to shaping better futures.
- Benefits: Inclusive culture, growth opportunities, and a focus on well-being.
- Other info: Collaborate with global teams and enjoy a dynamic work environment.
- Why this job: Make a real impact by transforming data systems for leading enterprises.
- Qualifications: Experience in PySpark, SQL, and data migration; strong problem-solving skills.
The predicted salary is between 60000 - 80000 £ per year.
At Zensar, we’re "experience-led everything".
We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises.
We are a company driven by a bold purpose: "Together, we shape experiences for better futures".
Whether for our clients, our people, or the world around us, this belief powers everything we do.
At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.
Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City.
Explore Life at Zensar and join us to Grow.
Own.
Achieve.
Learn. to be the best version of yourself.
We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized.
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.
- Contribute to modernization initiatives by migrating legacy data systems to modern platforms such as Py Spark and cloud-based architectures
- Design, develop, and optimize data pipelines using Py Spark, SQL, and Big Query
- 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 Py Spark, SQL, and Big Query
- 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
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