12 automation engineering English-speaking jobs in Salerno

mix of skills including Generative AI hands‑on capability (preferably on Azure/GCP and on-premise) engineering ... data engineers to produce fully productionized pipelines including data ingestion, cleaning, feature engineering

Architect at NTT DATA, you will design and optimize data pipelines on AWS, bridging Data Science and Data Engineering ... on AWS data stores (Redshift, DynamoDB, RDS, S3) Structure data operations and perform performance engineering

business goals Responsabilità At least 5 years of production experience in Data Science or Software Engineering

The ideal profile At least 5 years of production experience working in Data Science or Software Engineering

; Back-end Engineering, Platform Engineering, Front-end Engineering, Product Design & UX Engineering, ... Strong command of modern ETL/ELT patterns and data engineering best practices (testing, versioning, pipeline ... is lean, so we need someone smart and genuinely flexible — comfortable jumping between hands-on data engineering ... wherever the team needs an extra smart pair of hands — this part of the role is as important as the engineering ... challenges to help our clients reach their goals, by supporting them in the following areas: Data, AI & ML Engineering

Qualifications / Requirements Degree in Computer Engineering, Software Engineering, Electronics, or

About You Degree in Electrical or Mechanical Engineering (Master’s preferred). ... Partner with global engineering, manufacturing, and quality teams to deliver timely technical solutions

stores such as Redshift, DynamoDB, RDS, S3 Design operations architecture and conduct performance engineering

Qualifications Bachelor’s degree or above in Photovoltaics, Electrical Engineering, or a related field

Requirement Engineering: Lead high-level workshops with banking stakeholders to capture, analyze, and

Job Requirements Bachelor’s degree in business, engineering, or supply chain management.

We are looking for an engineer/architect who can be the bridge between Data Science and Data Engineering