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Open nowPosted 28 days ago

Data Engineer (AWS)

MyCareersFuture94,028 open roles

Pay
SGD 6,000 – SGD 8,000 a month
Where
Central, Singapore
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Your applicationOpen nowData Engineer (AWS)MyCareersFuture · Central, Singapore

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Share of postings closed within
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  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 28 days ago

The posting

Key Responsibilities

Architecture & Design

  • Design and architect the end-to-end AWS Data Lake and Lakehouse solution, including Landing Zone, Transformed Zone, and Curated/Consumption Zone layers
  • Define and govern data architecture standards, patterns, and best practices across the platform
  • Architect reusable data ingestion pipelines supporting REST APIs, JDBC databases, S3 file uploads, and SaaS connectors (e.g. Salesforce via AWS AppFlow)
  • Design data storage strategies including hot, warm, and cold storage tiers, encryption, and data lifecycle policies

Development & Deployment

  • Develop and deploy data ingestion pipelines using AWS Glue, Lambda, Step Functions, EventBridge, and API Gateway
  • Build and maintain data transformation workflows (batch and stream processing) using AWS Glue and Amazon Redshift
  • Implement orchestration, monitoring, logging, and notification frameworks for pipeline operations
  • Develop and maintain the AWS Glue Data Catalogue, including schema evolution tracking and metadata tagging

Security & Governance

  • Configure and enforce data security policies using AWS Lake Formation, IAM, and Secrets Manager
  • Implement granular access controls at database, table, and column levels
  • Ensure compliance with data classification, retention, and audit requirements
  • Support data quality frameworks and observability monitoring

Maintenance & Operations

  • Monitor platform health, performance, and pipeline reliability
  • Troubleshoot and resolve data pipeline failures and data quality issues
  • Maintain documentation for architecture decisions, pipeline configurations, and operational runbooks
  • Continuously optimise platform performance and cost efficiency on AWS

Requirements

Essential

  • Minimum 3 to 5 years of experience in data engineering, data architecture, or cloud infrastructure roles
  • Hands-on expertise with core AWS data services: Amazon S3, AWS Glue, Amazon Redshift, AWS Lambda, Amazon Kinesis, AWS Step Functions, Amazon EventBridge, AWS AppFlow, AWS Lake Formation
  • Strong proficiency in SQL and at least one scripting language (Python or Scala)
  • Experience designing and implementing Data Lake or Lakehouse architectures
  • Solid understanding of data governance, data cataloguing, and metadata management
  • Experience with batch and streaming data processing patterns
  • AWS Certified Data Engineer – Associate or AWS Certified Solutions Architect certification (or equivalent)

Preferred

  • Experience integrating with Tableau or similar BI visualisation tools via Amazon Redshift or S3
  • Familiarity with MLOps frameworks and AI/ML model deployment on AWS SageMaker
  • Experience with Salesforce data integration using AWS AppFlow
  • Knowledge of Change Data Capture (CDC) and incremental data load patterns
  • Prior experience in a government or public sector data environment
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