10 beste Stellen als data engineer data integration platform in bergdietikon ag – aktuell auf Personalsuche

Senior Data Engineer
Google —Zürich, ZH
- CHF 156’000 - CHF 227’000 pro Jahr
- 100%
- Bachelor
- Ohne Hochschulabschluss
5 Std.
Senior System Engineer
Destinus —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Militär
- Englisch
Direkt bewerben
7 Std.
Senior Solutions Architect
Avaloq —Zürich, ZH
- 100%
- Management-Erfahrung
- AWS
- Analysefähigkeit
Direkt bewerben
7 Std.
Senior Forward Deployed Engineer, GenAI, Google Cloud
Google —Zürich, ZH
- CHF 116’000 - CHF 128’000 pro Jahr
- 100%
- Microsoft Excel
- Doktorat
- Master
3 Tage
Senior Fullstack Software Engineer - Product Recommendations (w/m/d)
Digitec Galaxus AG —Zürich, ZH
- Teilzeit
- Homeoffice
- Englisch
- JavaScript
- Homeoffice-Möglichkeit
Enterprise Account Executive
BLP Digital AG —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Englisch
Capgemini ERD - Senior Client Partner - Industry
Capgemini —Opfikon, ZH
- Englisch
- Erfahrung in der IT
- Kommunikationsfähigkeit
- Empfehlungsprogramm
Senior Strategic Account Executive - DACH
BLP Digital AG —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Englisch
Senior HPC and AI Network Software Architect
NVIDIA —Zürich, ZH
- CHF 221’250 - CHF 507’000 pro Jahr
- 100%
- Informatik
- Doktorat
- C++
Named Account Manager - Retail & CG (Consumer Goods)
Salesforce —Zürich, ZH
- 100%
- Salesforce
- Englisch

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Senior Data Engineer

Google -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

100% | Pensum: 90-100%
CHF 156’000 - CHF 227’000 pro Jahr
vor 5 Stunden

Leistungen

Unterkunft

Qualifikationen

Power BI
Spark
Tableau
Bachelor

Vollständige Stellenbeschreibung

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Zürich, Switzerland.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
5 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).
5 years of experience coding in one or more programming languages.
5 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.

Preferred qualifications:

5 years of experience with statistical methodology and data consumption tools such as business intelligence tools, collabs, jupyter notebooks, Tableau, Power BI, DataStudio, and business intelligence platforms.
3 years of experience developing project plans and delivering projects on time within budget and scope.
3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders/customers.
Experience with Machine Learning for production workflows.

About the job

The Merchant Data Science team is a group within the Merchant Shopping Organization. We work on building scalable data products that empower data-driven decision-making.

In this role, you will innovate and build durable, impactful data products. You will bridge the gap between software engineering, data engineering, and data science.

As a Data Engineer in the Merchant Shopping organization, you will build data products and foundations to improve Google's Shopping products. You will collaborate with a multidisciplinary team of data scientists, engineers, and PMs on a wide range of problems. You will bring an undertanding of data, logging, and engineering. You will solve non-routine problems, build reliable data products used across the organization, and drive impact on cross-functional projects.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $156000 - $227000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Identify the underlying need, process datasets, and apply advanced data engineering, data modleing, and architectural frameworks when needed.
Design, build, and scale innovative data products, including self-serve tools, and automated pipelines.
Advance data infrastructure, product quality, and foundational understanding through automated validation frameworks, data quality, and reliability monitoring.
Operate with a high degree of autonomy, owning data engineering projects from initial conception to landing and impact.
Advocate impactful data products while contributing to a team culture that values engineering excellence, robust data, and sharp communication.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Jetzt bewerben

Erweiterte Suche

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