全职 AWS Data Engineer 工作, 薪水, Nityo Infotech 公司招聘中 - Ricebowl

We're Hiring | AWS Data Engineer | Singapore

Are you an experienced AWS Data Engineer looking to work on large-scale cloud data platforms and digital transformation projects? We're hiring passionate professionals to join our team in Singapore!

Location: Central, Singapore

Working Hours: 8:30 AM – 6:00 PM

Start Date: ASAP (Subject to Security Clearance)

Contract: 1 Year (Extendable)

Eligibility: Singapore Citizens, Singapore PR, or Valid Work Pass Holders

Salary: Up to SGD 9,500/month (All-Inclusive, based on experience)

Key Responsibilities

Design and build scalable AWS Data Lake & Lakehouse solutions

Develop ETL/ELT pipelines using AWS Glue, Lambda, Step Functions & EventBridge

Build batch and streaming data processing solutions with Amazon Redshift & Kinesis

Implement data governance, security, and metadata management using Lake Formation & IAM

Optimize data platform performance, monitoring, and cost efficiency

Support data quality, documentation, and operational excellence

Required Skills

️ 3–5+ years of Data Engineering experience

️ Strong hands-on experience with:

• AWS Glue
• Amazon S3
• Amazon Redshift
• AWS Lambda
• Amazon Kinesis
• AWS Step Functions
• Amazon EventBridge
• AWS Lake Formation
• AWS AppFlow
• IAM & Secrets Manager

️ Strong SQL and Python (or Scala) programming skills

️ Experience designing Data Lake/Lakehouse architectures

️ Knowledge of batch & streaming data pipelines

️ Understanding of data governance and metadata management

Preferred

️ AWS Certified Data Engineer Associate or AWS Solutions Architect

️ Tableau integration experience

️ Salesforce AppFlow integration

️ CDC (Change Data Capture) knowledge

️ AWS SageMaker / MLOps exposure

️ Experience in Singapore Government or Public Sector projects is an advantage

please send your updated CV to: *************

WhatsApp: +************* 2521

• Current Salary
• Expected Salary
• Notice Period
• Work Pass / Visa Status
• Availability

Apply now or reach out directly via LinkedIn message.

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