• The Senior Data Engineer designs, builds and maintains the data ingestion and transformation pipelines that populate Inchcape’s central data platforms. • This role ingests raw data from diverse systems, curates the bronze and silver layers of the medallion architecture, ensures data quality and performance, and delivers reliable, reusable datasets for modelling, analysis, reporting and BI. • Develop and maintain ETL/ELT pipelines to ingest data from ERP, CRM, operational, financial, and third‑party sources into the Microsoft Fabric Platform - Lakehouse (OneLake) using Delta Lake/Parquet. • Implement data quality standards and controls, incremental loading, CDC and error handling to ensure reliability and correctness. • Create bronze tables, curated Silver and gold tables by transforming, cleansing and conforming raw data, document lineage and transformations. • Optimise performance through partitioning, clustering and tuning of MS Fabric, SQL and Spark workloads, monitor pipeline health and costs. • Collaborate with Data Architects, Modellers and Data BAs to design schemas, naming conventions and integration patterns to ensure business self-service enablement through Gold data. • Build reusable components, templates and automation scripts using Fabric Dataflows Gen2, Spark notebooks or equivalent tools. • Maintain metadata and sensitivity labels via Purview, ensure proper access controls and compliance. • Research and evaluate new features and patterns in Microsoft Fabric and make recommendations for adoption, enabling an AI-driven data strategy. • Ensure NFR requirements like resilience, availability and security standards are applied as per agreed NFR metrics.

• Design, deploy, and scale large-scale ML and data processing pipelines across cloud infrastructure • Build systems to ingest, process, and serve 250,000+ hours of multimodal data (video, audio, metadata) • Architect and optimize GPU-based compute environments (e.g., NVIDIA Tesla clusters) for distributed training and inference • Develop high-throughput backend systems for video ingestion from desktop and mobile platforms • Implement distributed processing workflows, including job scheduling, fault tolerance, and resource allocation • Design and build human-in-the-loop and automated annotation systems to ensure data quality and scalability • Translate ML and multimodal research into scalable, production-grade cloud architectures • Optimize pipelines for performance, reliability, and cost efficiency across compute, storage, and networking layers • Collaborate with ML, data, and engineering teams to deliver end-to-end data workflows.

• Design, develop, and maintain databases supporting IVR and contact center systems • Support databases used by both runtime IVR services and analytics platforms • Design and maintain relational data models for IVR event, routing, and call data • Write, maintain, and optimize SQL for application logic, configuration changes, and investigations • Ensure database availability, integrity, performance, and scalability in production environments • Support storage and availability of IVR event logs, call lifecycle data, and routing outcomes for analytics and reporting • Monitor and troubleshoot production databases and support incident investigations • Collaborate with architects, application developers, DevOps, QA, and Analytics teams on platform changes and improvements

Role Description The ideal candidate will have hands-on experience with: - Spring Boot - BigQuery/BigTable - Spark/Scala - Workflow orchestration tools like Airflow/Composer Exposure to the following is essential: - Authblue - OneIdentity - EAG - Event-driven architectures You will also drive DevOps practices using: - GitHub Actions Manage deployments on: - GCP Hydra 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 - 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 - 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 - Protected veteran status