Data Engineer (Must have experience in Snowflake & Databricks & PySpark & Apache Spark)

Work Location: PJ33, Petaling Jaya (On-site)
Job Type: Permanent, Full-time
Salary: RM9,000 – RM15,000 per month
Working Hours: Monday – Friday, 8:30 AM – 5:30 PM
Occasional evening calls may be required to collaborate with the global team

Open to: Malaysian/ RP-T holder

Job Overview

We are looking for an experienced Data Engineer to join our Data, Analytics & AI team in Malaysia. You will design, develop, and maintain scalable data pipelines and contribute to an enterprise data platform supporting analytics, reporting, data distribution, and AI/ML initiatives.

This is a hands-on role involving modern cloud data technologies, with opportunities to collaborate with global technology teams, data scientists, analysts, and business stakeholders.

Important: Hands-on experience with Snowflake, Databricks, Apache Spark, and PySpark is mandatory.

Key Responsibilities

Design, develop, and maintain scalable data pipelines for structured, semi-structured, and unstructured data.
Build data integration pipelines across internal systems, external partners, and cloud platforms.
Develop ETL/ELT processes to support analytics, reporting, and AI/ML workloads.
Use Snowflake, Databricks, Apache Spark, and PySpark to process and transform large datasets.
Develop and enhance data lake and lakehouse platforms, including Delta Lake.
Build and maintain batch and streaming data pipelines where required.
Automate data ingestion and transformation workflows using Apache Airflow, Prefect, or equivalent tools.
Monitor, troubleshoot, and resolve data pipeline, data availability, and data quality issues.
Optimize pipeline performance, scalability, and processing costs.
Implement data quality checks and support metadata management, data lineage, and data cataloguing.
Follow data governance, security, compliance, testing, documentation, and CI/CD best practices.
Collaborate with global teams and business stakeholders to deliver reliable data solutions.
Evaluate new technologies and recommend improvements to the data platform.

Job Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Information Systems, or a related technical discipline.
At least 3 years of hands-on experience in Data Engineering or a closely related role.
Strong hands-on experience with all four mandatory technologies:
Snowflake
Databricks
Apache Spark
PySpark
Strong programming skills in Python and SQL.
Solid understanding of ETL/ELT, data modelling, and data warehousing concepts.
Experience with data lake, lakehouse, or Delta Lake environments.
Experience with orchestration tools such as Apache Airflow, Prefect, or equivalent.
Familiarity with cloud platforms, preferably Microsoft Azure.
Knowledge of data quality, metadata management, or data lineage is an advantage.
Strong analytical, troubleshooting, and problem-solving skills.
Good communication skills and the ability to collaborate with technical and business stakeholders.

Salary & Benefits

Permanent employment opportunity.
1.5-month annual bonus.
Medical coverage, including dental benefits.
Life insurance coverage.
Career development and professional growth opportunities.
Exposure to a global Data, Analytics & AI environment.
Collaborative working culture with an emphasis on work-life balance.

Occasional evening calls may be required to collaborate with the global team in Poland.

Interview Process

First Interview: Virtual interview with the Direct Manager
Second Interview: Face-to-face interview with the Head of Department

How to Apply

Suitable candidates are welcome to submit their latest CV or contact:

Anders Cheong
Talent Acquisition

WhatsApp: https://wa.me/601117364262
Email: cheongjia@mindpec.com

Please highlight your hands-on experience with Snowflake, Databricks, Apache Spark, PySpark, Python, and SQL in your CV

Pay: RM9,000.00 - RM15,000.00 per month

Work Location: In person

1份Apache工作在Petaling Jaya - October 2026

管理提醒

Data Engineer (Snowflake - Databricks - PySpark - Apache)