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Engineer jobs in United States
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Service Engineer (Security System / Technical Support / Troubleshooting)
EA RECRUITMENT PTE. LTD.
Singapore
On-site
SGD 60,000 - 80,000
3 days ago
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Marine Sales Engineer: Offshore Diesel Parts, Global Travel
Focal Search Pte Ltd
Singapore
On-site
SGD 45,000 - 60,000
3 days ago
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Sales Engineer (Marine)
Focal Search Pte Ltd
Singapore
On-site
SGD 45,000 - 60,000
3 days ago
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AI-Powered Cloud Software Senior Engineer
Dell
Singapore
On-site
SGD 80,000 - 100,000
3 days ago
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Discover more opportunities than anywhere else. Find more jobs nowQuality & Compliance Assistant Engineer
C-PAK PTE LTD
Singapore
On-site
SGD 60,000 - 80,000
3 days ago
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Equipment Process Engineer – Semiconductors
STATS ChipPAC Pte. Ltd.
Singapore
On-site
SGD 40,000 - 60,000
3 days ago
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Senior Electrical & Instrumentation Engineer – GMP Plant
WuXi Chemistry
Singapore
On-site
SGD 70,000 - 90,000
3 days ago
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Connect with headhunters to apply for similar jobsElectrical and Instrumentation Engineer - Senior/Principal - Tuas
WuXi Chemistry
Singapore
On-site
SGD 70,000 - 90,000
3 days ago
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Tech & Projects Engineer - Maintenance & Support
TRD SYSTEMS PTE. LTD.
Singapore
On-site
SGD 25,000 - 50,000
3 days ago
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IT System Engineer – Stabilität, Automatisierung & Security
Manexperts (Schweiz) GmbH
Singapore
Hybrid
SGD 70,000 - 90,000
3 days ago
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Engineering Quality Assurance Lead - CAPA & Compliance
SATS Ltd.
Singapore
On-site
SGD 80,000 - 100,000
3 days ago
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Technician / Associate Engineer
TRD SYSTEMS PTE. LTD.
Singapore
On-site
SGD 25,000 - 50,000
3 days ago
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Equipment Associate Engineer
STATS ChipPAC Pte. Ltd.
Singapore
On-site
SGD 40,000 - 60,000
3 days ago
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Graduate Backend Engineer, Data Platform
ByteDance
Singapore
On-site
SGD 70,000 - 100,000
3 days ago
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Senior Network Engineer - Infra, Cloud & Security Solutions
Sopra Steria I2S
Singapore
On-site
SGD 60,000 - 80,000
3 days ago
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Senior Network Engineer
Sopra Steria I2S
Singapore
On-site
SGD 60,000 - 80,000
3 days ago
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Civil Project Engineer – Infrastructure & Site Delivery
Ley Choon Group Holdings Limited
Singapore
On-site
SGD 50,000 - 70,000
3 days ago
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Serverless AWS Node.js Engineer
G2 COMTECH ASIA PTE. LTD.
Singapore
On-site
SGD 65,000 - 85,000
3 days ago
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Project Engineer
Ley Choon Group Holdings Limited
Singapore
On-site
SGD 50,000 - 70,000
3 days ago
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Backend Software Engineer Graduate (Data Management Suite) - 2026 Start (BS/MS)
ByteDance
Singapore
On-site
SGD 70,000 - 100,000
3 days ago
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AI-Driven Finance BA | Senior Associate, Prompt Engineer
KPMG Services Pte Ltd
Singapore
On-site
SGD 80,000 - 120,000
3 days ago
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Data Engineer
ENFACTUM PTE. LTD.
Singapore
On-site
SGD 70,000 - 95,000
Full time
3 days ago
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Job summary
A leading data solutions company in Singapore is seeking a skilled data engineer to prepare datasets and develop data pipelines. The role involves troubleshooting data issues and collaborating with stakeholders to design the Enterprise Data Strategy. Ideal candidates will have hands-on Big Data experience with technologies such as Hadoop, Spark, and Python, and a good command of English is essential while knowledge of German is beneficial. Competitive salary and growth opportunities will be offered.
Qualifications
- Hands-on Big Data experience using common open-source components.
- Experience in stakeholder management in heterogeneous organizations.
- Background in banking or financial business, handling sensitive data.
- Experience with large data migrations and on-prem Data Lakes.
- Experience integrating Data Science platforms like Knime or Cloudera.
Responsibilities
- Prepare datasets and data pipelines and troubleshoot data issues.
- Collaborate with stakeholders to co-design the Enterprise Data Strategy.
- Develop and maintain data pipelines for Data Scientists.
- Develop and maintain data pipelines and schemas.
- Resolve data-related issues across processes.
Skills
Expert SQL skills
Knowledge of reference architectures
Working automation experience in Python
Data preparation for reporting/analytics
Good knowledge of German
German language skills
Tools
Hadoop
Spark
Tableau
Python
Jupyter Notebooks
Job description
Role description
- Datasets and data pipelines preparation, support for Business, data troubleshooting.
- Closely collaborate with the Data & Analytics Program Management and stakeholders to co-design Enterprise Data Strategy and Common Data Model
- Implementation and promotion of Data Platform, transformative data processes, and services
- Develop data pipelines and structures for Data Scientists, testing such to ensure that they are fit for use
- Maintain and model JSON based schemas and metadata to re-use it across the organization (with central tools)
- Resolving and troubleshooting data related issues and queries
- Covering all processes from enterprise reporting to data science (incl. ML Ops)
Experience
- Hands‑on Big Data experience using common open‑source components (Hadoop, Hive, Spark, Presto, NiFi, MinIO, KBS, Kafka)
- Experience in stakeholder management in heterogeneous business/technology organizations
- Experience in banking or financial business, with handling sensitive data across regions
- Experience in large data migration projects with on‑prem Data Lakes
- Hands‑on experience in integrating Data Science Workbench platforms (e.g., Knime, Cloudera, Dataiku))
- Track record in Agile project management and methods (e.g., Scrum, SAFe).
Skills
- Knowledge of reference architectures, especially concerning integrated, data‑driven landscapes and solutions
- Expert SQL skills, preferably in mixed environments (i.e. classic DWH and distributed)
- Working automation and troubleshooting experience in Python using Jupyter Notebooks or common IDEs
- Data preparation for reporting/analytics and visualization tools (e.g. Tableau, Power BI or Python based)
- Applying a data quality framework within the architecture
- Good knowledge of German is beneficial, excellent command of English is essential
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.