DE&A - AIML - Auto ML

Must-have Nice-to-have / differentiators Principal-level hands-on data engineering on AWS — 7+ years Prior simulation / CAE / HPC data lake experience (Ansys, Siemens NX, BETA CAE, OpenFOAM, etc.) Deep production experience with S3, S3 Tables, Glue, Athena, and OpenSearch (including k-NN / vector search) Familiarity with surrogate model training data pipelines Built and shipped vector embedding workloads Experience with SageMaker Unified Studio or comparable governed data-mesh tooling (in case of required integration) Strong metadata modelling and data taxonomy design experience for scientific or engineering domains Multi-cloud data engineering (AWS GCP) experience Comfort working with Parquet, JSON-LD, and large binary scientific data formats (mesh, time-series, spectra) Published or contributed to AWS data architecture patterns or blueprints Python proficiency; PySpark / Glue job tuning experience 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.