Snowflake Data Engineer

NTT Ltd.

Greater London

Sur place

GBP 65 000 - 90 000

Plein temps

14 jours+

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Résumé du poste

NTT DATA is seeking a Snowflake Data Engineer to join our Data & AI practice in a client-facing role. You will build and optimize data pipelines using Snowflake and cloud-native data platforms to enable data-driven decision making, analytics and AI capabilities for our clients.

You will collaborate with architects, developers and analysts to design, implement and maintain secure data pipelines in a collaborative environment that spans multiple client engagements.

Qualifications

  • It highlights experience in data engineering, ETL/ELT pipelines and cloud-native data platforms.
  • Snowflake expertise and running secure, high-performing data pipelines are essential.
  • Collaborating with architects, developers and analysts is required.

Responsabilités

  • Collaborate with architects, developers and analysts to design and implement data pipelines.
  • Maintain secure, high-performing pipelines in a client-facing environment.

Connaissances

Data engineering
ETL/ELT pipelines
Cloud data platforms
Snowflake

Formation

Bachelor's degree in Computer Science or equivalent

Outils

Snowflake

Description du poste

Make an impact with NTT DATA

Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

Your day at NTT DATA

We are seeking an accomplished and detail-oriented Snowflake Data Engineer to join our Data & AI practice. The successful candidate will bring deep expertise in data engineering, ETL/ELT pipelines, and cloud-native data platforms, with a strong focus on Snowflake. This role is critical in building and optimising modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients.

As a trusted practitioner, you will collaborate with architects, developers, and analysts to design, implement, and maintain secure and high-performing data pipelines. You will thrive in a collaborative, client-facing environment,

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