AWS- Data Engineer

Ambition Singapore; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Ambition Singapore seeks a Data Engineer to design and implement an end-to-end AWS data lake and lakehouse architecture in Singapore. You will define data architecture standards, build reusable ingestion pipelines, and govern data across zones.

You'll work with services like S3, Glue, Redshift, Lambda, Kinesis, and AppFlow to enable secure data storage, batch and streaming processing, and observability. The role emphasizes cost efficiency and strong security practices.

Qualifications

• 3–5 years in data engineering, data architecture, or cloud infra roles.
• Hands-on experience with AWS data services and data lakehouse patterns.
• Strong SQL skills and Python or Scala scripting.
• Knowledge of data governance, cataloguing, and metadata management.
• Experience with batch and streaming data processing.

Responsibilities

• Design and architect the end-to-end AWS Data Lake and Lakehouse layers.
• Define and govern data architecture standards and best practices.
• Build reusable ingestion pipelines for REST APIs, databases, and SaaS connectors.
• Implement data storage strategies with tiered storage, encryption, and lifecycle policies.
• Develop and deploy ingestion, transformation, orchestration, monitoring, and governance.
• Maintain Glue Data Catalogue, schemas, and metadata tagging.

Skills

SQL

Python/Scala

Data Lake / Lakehouse

Data governance

Batch & streaming

AWS data services

Tools

Amazon S3

AWS Glue

Amazon Redshift

AWS Lambda

Amazon Kinesis

AWS Step Functions

EventBridge

AWS AppFlow

Lake Formation

Job description

We are seeking a Data Engineer with below key requirements:

Key Responsibilities

• 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:

• 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 Event Bridge, AWS App Flow, 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)

Regrettably, only shortlisted candidates will be notified.

Business Registration Number: 200611680D|Licence Number: 10C5117 |EA Registration Number: R21102013