Lead Data Engineer

2 days ago


Kuala Lumpur, Kuala Lumpur, Malaysia Ironbook AI Full time $80,000 - $150,000 per year

We are seeking an experienced and driven Lead Data Engineer to spearhead the

design and development of a modern, cloud-native data warehouse on AWS. This role

is critical to building a scalable, secure, and efficient data platform that supports

analytics, reporting, and AI use cases across the organization. The ideal candidate is

both technically hands-on and capable of leading a team to deliver enterprise-grade

data solutions.

Requirements:


• Minimum 7 years of experience in data engineering, with at

least 3 years working in cloud-based environments (preferably

AWS).


• Strong hands-on experience with AWS S3, Glue, Redshift,

Lambda, Step Functions, and other core AWS services.


• Proficient in SQL and Python for data transformation and

automation.


• Experience in building and managing data models and data

pipelines for large-scale data environments.


• Solid understanding of data warehousing principles, data lakes,

and modern data architecture.


• Experience leading and mentoring data engineering teams.


• Strong communication and collaboration skills to work with

cross-functional teams.

Experience with Power BI, Snowflake on AWS, or Databricks is a plus.


• Exposure to DevOps practices such as CI/CD.


• Familiarity with data governance and security frameworks in

AWS


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