• Design and implement frameworks and features for the next generation of the Sophos Central platform, powered by the Taegis Data Platform • Build, maintain, and optimize large‑scale data pipelines to improve performance, reliability, and scalability • Participate in architecture, planning, and design discussions with engineering leaders, architects, and team leads • Collaborate closely with operations and site reliability teams to ensure solutions are production‑ready, observable, and supportable • Contribute to the ongoing evolution of platform standards around security, resiliency, and operational excellence

Role Description - Python – strong hands-on experience in enterprise-scale development - Apache Spark / PySpark – building large-scale distributed data pipelines - Big Data concepts – partitioning, shuffling, performance tuning - SQL – complex queries, joins, and optimization - Cloud exposure on GCP, including: - BigQuery - Cloud Storage (GCS) - Dataflow (preferred) - Pub/Sub (basic understanding) - Experience working with large datasets (TB scale) Company Description 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.

• Own data quality: identify, analyze, and fix data issues • Translate business processes into reliable data structures • Build and optimize ETL pipelines • Deliver clean and structured data for analytics and BI • Handle AdHoc analytical requests under tight deadlines • Maintain and improve Power BI reporting • Automate repetitive tasks • Provide analytical support • Train users on BI tools

• Build and maintain robust data pipelines processing large volumes of data • Analysis of large data sets using tools such as Python & SQL • Update and optimize our data platform for speed, scalability and cost • Coordinate with different functional teams to understand and meet their data needs • Develop processes and tools to monitor and analyze model performance and data accuracy • Solve general data-related problems • Setting up new pipelines for the full stream/enrichment/curation process • Upkeep of source code locations • Investigating and utilising ML & AI to improve the cloud offering • Development of junior staff members