Job Description

Job Title: AWS Data Engineer

Location:

Kuala Lumpur, Malaysia

Employment Type:

Full-time

Overview

We are seeking an experienced

AWS Data Engineer

to design, build, and optimize scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong hands-on experience with

AWS services

,

ETL/ELT frameworks

,

PySpark

, and modern data warehousing tools such as

Snowflake

and

Amazon Redshift

.

Key Responsibilities

Design, develop, and maintain scalable

ETL/ELT pipelines

using

AWS Glue

,

PySpark

, and other AWS data services. Build and manage

data ingestion

,

transformation

, and

processing workflows

for structured and unstructured data. Develop

DBT models

and implement best practices for data transformation and version control. Implement and optimize

cloud data warehouses

such as

Snowflake

and

Amazon Redshift

. Ensure high data quality, governance, and security across all data pipelines. Collaborate with data analysts, data scientists, and business stakeholders to deliver reliable datasets. Monitor data pipelines, troubleshoot issues, and improve performance. Work with AWS services including

Lambda, S3, IAM, Athena, CloudWatch, Step Functions

, and others as required.

Required Skills & QualificationsTechnical Skills

Strong hands-on experience with

AWS Glue (ETL, crawlers, jobs)

Expertise in

PySpark

and distributed data processing Strong understanding of

DBT

(models, tests, documentation, deployments) Experience with

Snowflake

(warehousing, Snowpipe, performance tuning) Experience with

Amazon Redshift

(schema design, query optimization) Proficiency with AWS ecosystem:

S3, Lambda, CloudWatch, IAM, Athena, Step Functions

Strong SQL experience for data modeling and transformations Experience with CI/CD and version control (Git, CodePipeline, etc.)

Soft Skills

Excellent communication and problem-solving abilities Ability to work in agile, fast-paced environments Strong analytical and debugging skills

Preferred Qualifications

Bachelor's/Master's in Computer Science, Engineering, or related field Experience with data lake/lakehouse architectures Knowledge of containerization (Docker) or orchestration (Airflow) is a plus
Job Type: Full-time

Pay: RM10,000.00 - RM15,000.00 per month

Benefits:

Health insurance
Work Location: In person