Senior Data Engineer - up to RM 10k

Randstad Malaysia; Kuala Lumpur; Hybrid; MYR 180,000 - 300,000; Full time

Benefits offered by this job

Hybrid work arrangement

Career growth

Public transport accessible

Job summary

Randstad Malaysia, in partnership with a renowned FMCG organisation across Asia, is seeking a Data Engineer to design, build, and maintain scalable ETL/ELT pipelines ingesting data from diverse sources.

You will model and optimize data within Snowflake and Databricks, implement robust Python code for data processing, and collaborate with Data Scientists, Analysts, and Product Managers. This hybrid role offers career growth and convenient public transport access in Kuala Lumpur.

Qualifications

• 3+ years of dedicated professional experience in Data Engineering.
• Strong production-level Python coding skills.
• Deep expertise in designing, deploying, and maintaining complex data pipelines.

Responsibilities

• Pipeline Architecture: Design, build, and maintain robust ETL/ELT pipelines ingesting data from diverse sources.
• Data Modeling & Warehousing: Architect and optimize data models in Snowflake and Databricks.

Skills

ETL/ELT

Python

SQL

Snowflake

Databricks

Education

Vocational/Professional Qualification

Tools

Snowflake

Databricks

Job description

• Hybrid Work Arrangement
• Career Growth
• Public Transport Accessible

about the company

Randstad has recently partnered with a renown organisation across Asia, within the FMCG industry. Your future employers operate and scale businesses across the continent, with a steady growth and utilization of digital solutions in streamlining the business operations.

key responsibilities:

• Pipeline Architecture: Design, build, and maintain robust, highly scalable ETL/ELT data pipelines to ingest and process vast amounts of data from diverse sources.

• Data Modeling & Warehousing: Architect and optimize data models within Snowflake and Databricks to ensure high performance and seamless data availability.

• Development & Automation: Write clean, efficient, and well-documented Python code to process, transform, and integrate data while automating manual operational tasks.

• Performance Tuning: Identify bottlenecks in existing infrastructure and implement structural improvements to enhance data delivery speed and system scalability.

• Cross-Functional Collaboration: Partner closely with Data Scientists, Data Analysts, and Product Managers to understand specific data needs and deliver tailored infrastructure solutions.

requirements:

• Experience: 3+ years of dedicated professional experience in Data Engineering.

• Core Languages: Strong, production-level coding proficiency in Python.

• ETL/ELT Development: Deep expertise in designing, deploying, and maintaining complex data pipelines from scratch.

• Modern Data Stack: Hands-on, extensive experience working with Snowflake and Databricks in a production environment.

• Database Knowledge: Advanced SQL knowledge and experience working with both relational databases and data lakes.

nice to haves:

• Cloud Ecosystems: Hands-on experience with major cloud platforms and their native data services (AWS, Google Cloud Platform, or Microsoft Azure).

• Orchestration & Streaming: Familiarity with data orchestration tools (e.g., Apache Airflow, dbt) and real-time streaming technologies (e.g., Kafka).

• Infrastructure as Code: Experience with Terraform or similar IaC tools.

experience

4 years

skills

ETL, Python, Databricks, Snowflake

qualifications

no additional qualifications required

education

Vocational/Professional Qualification