Software engineer ii, android performance console Work, Jobs in Leatherhead, Sry (with Salaries)

Data Engineer, Amazon Customer Service Data Analytics Support Hub
Amazon Business EU Sarl, UK Branch - P97 —London
- Full-time
- Computer Science
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Senior Staff Software Engineer, Perception, Autonomy
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- Doctoral degree
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- Master's degree
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Micazook —London
- English
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Salesforce Technical Architect
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- £66,600 - £95,000 a year
- Full-time
- Hybrid work
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- JavaScript
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Dwelly —London
- English
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Alpha Financial Markets Consulting —London
- Hybrid work
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AKT II —London
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Data Engineer, Amazon Customer Service Data Analytics Support Hub

Amazon Business EU Sarl, UK Branch - P97 -
London

Apply Now

Job details

Full-time
3 days ago

Qualifications

Dart
Data modelling
Node.js
Law
Computer Science
Engineering
Java
Master's degree
AWS
Scala
Scripting
Predictive analytics
IT
S3
Redshift
Python
SDLC

Full job description

DESCRIPTION

Amazon's Customer Service (CS) department is seeking an experienced Data Engineer to join the Data Analytics Support Hub (DASH) Advanced Analytics team. CS is the heart of Amazon; our vision is to be Earth's most customer-centric company. The successful candidate will be a key member of the Advanced Analytics branch within DASH, which is evolving Q&E from descriptive ("what happened") to diagnostic and predictive analytics at worldwide

As a Data Engineer II, you will build and own the production data infrastructure that turns Q&E domain expertise into scalable diagnostic and predictive analytics. You will own end-to-end delivery of pipelines for multi-contact journey analytics (Transfers, Repeats, DART, ECR/VPI), transcripts ingestion at WW scale, LLM-serving datasets, and model-serving feature tables. You will also serve as the bridge that connects central data platforms to Q&E-specific, multi-contact journey use cases that central single-touchpoint platforms do not address.

This position can be located in LUX21 or LHR16.

Key job responsibilities
Responsibilities include but are not limited to:

Build and own production data pipelines for Q&E diagnostic and predictive workloads: transcripts ingestion at WW scale, multi-contact threading, journey-grain feature tables, and model-serving datasets.
Integrate Q&E pipelines with central infrastructure: consume data and tooling, and connect to Data Stream Service (DSS) to move from 24-36 hour validation latencies toward semi real-time signals.
Own end-to-end data models and pipelines for the new KPI portfolio
Scale innovations from prototypes into maintainable, certified production pipelines.
Build the transcripts prototyping infrastructure used by BIEs and Data Scientists: scalable, secure, App-Security-red-certified, with templates and tooling that reduce new ad-hoc request time-to-delivery.
Productionize LLM-based diagnostic outputs into reliable datasets that power WBR "why" automation and self-service dive-deeps.
Own dataset quality, lineage, freshness SLAs, backfills, and alerting. Drive Shepherd risk remediation, App Security reviews, Kale, Legal, Threat Models, DI diagrams, and ASR certification for production deployment.
Perform code reviews in CRUX; follow Brazil/Apollo/Pipelines best practices; contribute to DE engineering standards and the reusable-components knowledge repository.

BASIC QUALIFICATIONS

Experience in data engineering
Experience with data modeling, warehousing and building ETL pipelines
Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

PREFERRED QUALIFICATIONS

Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience working on and delivering end to end projects independently
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Apply Now

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software engineer ii, android performance console jobs in leatherhead, sry

Data Engineer, Amazon Customer Service Data Analytics Support Hub

Senior Staff Software Engineer, Perception, Autonomy

SENIOR 3D UNITY DEVELOPER

Salesforce Technical Architect

Integrations Manager, Data & Reconciliation

Engineering Lead - Insurance (Data & AI)

Senior Geotechnical Design Engineer

Tax Sales Specialist

Generalist Service Representative II

Senior Structural Engineer

Enterprise Account Executive

Senior Regional Environmental Manager – EMEA, AWS Environmental

TechOps Architect

Mobile Engineer II, Android

Forward-Deployed Data Scientist II

Data Scientist II, Alexa for Shopping Science UK

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