Senior Data Engineer: Data Lake & Analytics Architect

Cloud Kinetics; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

Cloud Kinetics in Kuala Lumpur is seeking a data engineer to design and build scalable data pipelines and analytics solutions. The role requires 5–10 years of experience and a hands-on approach to ETL/ELT, data modeling, and BI.

You will work with AWS services (Glue, Lambda, EMR, Step Functions) and open-source tools (Apache Spark, dbt) to create data lakes, warehouses, and dashboards via QuickSight or PowerBI.

Qualifications

• Design and build production-grade ETL/ELT pipelines using AWS and open-source solutions.
• Design and optimize data models, schemas, and data storage for analytics workloads.
• Design and implement data lake, data warehouse, and data lakehouse solutions for analytics platforms.
• Build BI dashboards and analytics visualizations using tools like AWS QuickSight or PowerBI.

Responsibilities

• Design and build production-grade ETL/ELT pipelines on AWS or open-source tech.
• Design and optimize data models, schemas, and storage for analytics workloads.
• Design and implement data lake, data warehouse, and data lakehouse solutions for analytics platforms.
• Build BI dashboards and analytics visualizations using tools such as AWS QuickSight or PowerBI.

Skills

Data pipeline design

ETL/ELT

Data modeling

Analytics visualization

Tools

AWS Glue

AWS Lambda

AWS EMR

AWS Step Functions

Apache Spark

dbt

PowerBI

AWS QuickSight

Job description

Cloud Kinetics in Kuala Lumpur is seeking a data engineer to design and build scalable data pipelines and analytics solutions. The role requires 5–10 years of experience and a hands-on approach to ETL/ELT, data modeling, and BI.

You will work with AWS services (Glue, Lambda, EMR, Step Functions) and open-source tools (Apache Spark, dbt) to create data lakes, warehouses, and dashboards via QuickSight or PowerBI.