Data Engineer

G-Asiapacific; Subang Jaya; On-site; MYR 120,000 - 180,000; Full time

Job summary

G-AsiaPacific is seeking a mid-level Data Engineer in Malaysia with 3–5 years of hands-on delivery experience in AWS, Redshift, SQL and Python. You will design data pipelines and data platforms, work with Sales, Solution Architects, Technology and Delivery teams, and support presales-to-delivery engagements.

You will be involved in data discovery workshops, data consolidation strategies and modern cloud data architectures, ensuring scalable, cost-aware solutions for customer data environments.

Qualifications

• 3–5 years of Data Engineering experience with hands-on delivery.
• Strong AWS experience, especially Amazon Redshift and AWS data/analytics services.
• Proficient in SQL and Python with ETL/ELT and data pipelines.
• Knowledge of data modeling, warehousing, lakes, integration and quality.
• Experience with Spark/PySpark preferred.
• Exposure to ML/AI data engineering requirements.
• Excellent analytical, problem-solving and stakeholder management skills.
• Comfortable conducting customer workshops and presenting technical solutions.

Responsibilities

• Design, develop and optimize data pipelines, ETL/ELT processes, data warehouses and data lakes.
• Hands-on AWS data services, including Redshift, S3, Glue, Lambda, Athena, EMR/Spark.
• Develop data solutions using SQL, Python, PySpark/Spark and modern practices.
• Conduct Data Discovery, Data Assessment and Data Workshops with customers.
• Analyze customer data environments and recommend data consolidation, migration and analytics approaches.
• Support presales activities including discovery, proposals, POCs and customer presentations.
• Navigate Presales → Solution Architecture → Engineering → Delivery/Post-Sales.
• Collaborate with Sales, SA, Technology and Delivery to translate business challenges into feasible solutions.
• Support ML/AI use cases by preparing data pipelines and datasets for model development.
• Troubleshoot and optimize data workloads for performance, scalability, reliability and cost.
• Remain customer-focused to ensure the proposed technology solves business challenges.

Skills

AWS

Redshift

SQL

Python

PySpark

Data pipelines

ETL/ELT

Data lakes

Data warehouses

Data modeling

Data quality

Consulting

Pre-sales

Stakeholder mgmt

Job description

We are looking for a Mid-Level Data Engineer with 3–5 years of solid experience, primarily in AWS, who can combine hands‑on data engineering with customer‑facing consulting and presales‑to‑delivery engagement. The role requires someone who can understand customer challenges, assess their data landscape, design practical solutions, and work closely with Sales, Solution Architects (SA), Technology and Delivery teams to ensure successful outcomes.

Key Responsibilities

Design, develop and optimize data pipelines, ETL/ELT processes, data warehouses and data lakes.

Strong hands‑on experience with AWS data services, especially Amazon Redshift, S3, Glue, Lambda, Athena, EMR/Spark and related services.

Develop data solutions using SQL, Python, PySpark/Spark and modern data engineering practices.

Conduct Data Discovery, Data Assessment and Data Workshops with customers to understand current architecture, data sources, data quality and business requirements.

Analyze customer data environments and recommend approaches for data consolidation, integration, migration, modernization and analytics.

Support presales activities, including discovery sessions, solution discussions, technical proposals, effort estimation, POCs and customer presentations.

Navigate the customer journey from Presales → Solution Architecture → Engineering → Delivery/Post‑Sales, ensuring smooth handover and alignment.

Work with Sales, SA, Technology and Delivery teams to translate business challenges into feasible and scalable technical solutions.

Support Machine Learning / AI use cases by preparing data pipelines, datasets and data platforms required for model development and deployment.

Troubleshoot, optimize and improve data workloads for performance, scalability, reliability and cost.

Remain customer‑focused and ensure that the proposed technology ultimately solves the customer's business and technical challenge. This is realized through ensuring process integrity.

Required Skills

3–5 years of Data Engineering experience with strong hands‑on delivery capability.

Strong AWS experience, particularly Amazon Redshift and AWS data/analytics services.

Strong SQL and Python skills with practical ETL/ELT and data pipeline experience.

Good understanding of data modeling, data warehousing, data lakes, data integration and data quality.

Experience with Spark/PySpark is preferred.

Exposure to Machine Learning / AI data engineering requirements.

Strong analytical, problem‑solving, communication and stakeholder‑management skills.

Comfortable conducting customer workshops and presenting technical solutions. This combines customer engagement and data modelling planning.

Good to Have

Experience with Microsoft Azure and/or Google Cloud Platform (GCP).

Exposure to Azure Synapse, Data Factory, Databricks, BigQuery, Dataflow or equivalent technologies.

Experience in consulting, system integration or customer‑facing technology roles.

Knowledge of data governance, security, CI/CD and modern cloud data architectures.

Ideal Candidate

A hands‑on Data Engineer who can also think like a consultant—someone who can understand the customer's problem, assess and consolidate data, design the right solution, support presales, collaborate across Sales/SA/Technology/Delivery, and stay focused on achieving the customer's desired business outcome.

Information Technology Services 51-100 employees

G-AsiaPacific, established in 2008, is a wholly‑owned subsidiary of Bursa Malaysia ACE Market‑listed K-One Technology Berhad. As a leading cloud advisory and managed services provider, we have supported over 5,000 customers across Asia Pacific in their digital transformation journey.

We deliver end‑to‑end cloud solutions through strategic partnerships with Google Cloud, AWS, Microsoft, and Alibaba Cloud. At G‑AsiaPacific, we foster innovation, collaboration, continuous learning, and career growth.

Join us in shaping the future of cloud technology, working alongside passionate professionals, and delivering meaningful digital transformation for businesses across the region.

G-AsiaPacific, established in 2008, is a wholly‑owned subsidiary of Bursa Malaysia ACE Market‑listed K-One Technology Berhad. As a leading cloud advisory and managed services provider, we have supported over 5,000 customers across Asia Pacific in their digital transformation journey.

We deliver end‑to‑end cloud solutions through strategic partnerships with Google Cloud, AWS, Microsoft, and Alibaba Cloud. At G‑AsiaPacific, we foster innovation, collaboration, continuous learning, and career growth.

Join us in shaping the future of cloud technology, working alongside passionate professionals, and delivering meaningful digital transformation for businesses across the region.