ApplySarthiData Engineer SAS
NEORIS
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Skills named in this job
Read from the description itself, not inferred.
This role on the market
7,350 open data roles across 671 companies are on ApplySarthi right now, most of them in Bengaluru (418), Hyderabad (322), Mumbai (155).
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What data roles keep asking for: AWS (25%), SQL (23%), Python (22%) — counted across their open postings here.
AWS jobs · Python jobs · SQL jobs · Spark jobs
NEORIS has 37 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for data roles keep coming back to AWS, SQL, Python. Practise those questions before you sit with NEORIS.
Questions you are likely to be asked
- Why do you want to join NEORIS?
- What is your experience with Python? Tell me one thing you learned the hard way.
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Data Engineer SAS at NEORIS interview free →NEORIS, ahora parte de EPAM, es un Acelerador Digital con más de 20 años acompañando a las compañías más grandes del mundo en su transformación tecnológica. Con presencia en 11 países y más de 4.000 profesionales, trabajamos en una cultura multicultural que impulsa la innovación, la estrategia y la comunicación de alto impacto.
Nos encontramos en la búsqueda de un/a Data Engineer SAS, para participar en proyectos analíticos y de ingeniería de datos de alta complejidad, dentro de entornos corporativos exigentes. El rol tiene foco en el ecosistema SAS, integrando tecnologías modernas como SQL, Python, PySpark y servicios cloud en AWS, con un alto nivel de autonomía, rigor técnico y orientación a la calidad.
Responsabilidades:
- Diseñar, desarrollar y mantener procesos de ingeniería de datos utilizando SAS EG y SAS EM 9.4.
- Implementar flujos de datos complejos integrando SAS con bases de datos relacionales mediante SQL.
- Desarrollar soluciones analíticas y pipelines de datos usando Python y PySpark.
- Optimizar procesos existentes garantizando performance, calidad y escalabilidad.
- Participar activamente en el diseño técnico de soluciones de datos end‑to‑end.
- Colaborar con equipos multidisciplinarios (analítica, negocio, arquitectura).
- Asegurar buenas prácticas de documentación, versionado y control de calidad.
Requerimientos:
- Experiencia sólida como Data Engineer en entornos productivos.
- Dominio comprobable de SAS (Enterprise Guide y Enterprise Miner 9.4).
- Conocimientos avanzados de SQL para modelado y manipulación de datos.
- Experiencia práctica con Python y/o PySpark.
- Experiencia trabajando en entornos cloud AWS.
- Capacidad de trabajo autónomo, pensamiento analítico y enfoque en calidad.
Ofrecemos:
- Salario competitivo.
- Medicina prepagada.
- NEORIS Days (3 días libres).
- Bonificación por cumplimiento anual.
- Bono vacacional.
- Herramientas corporativas.
- Plataformas de capacitación y entrenamiento.
Te invitamos a conocernos en http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.
Manuel Lunahuana
(LI-ML2)
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Listed on greenhouse · posted 2026-04-27. ApplySarthi collects openings and links to application pages; the role is advertised by NEORIS, not by us.