全职 Senior Data Engineer - up to RM 10k 工作, 薪水, Randstad Malaysia Federal Territory 公司招聘中 - Ricebowl

• 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.
  
  

how to apply

Kindly click on the applicable link to apply if you are interested and suitable for this role. Alternatively, you can reach out to me via LinkedIn for a confidential discussion.

Sundar Ravindran | Randstad