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Randstad Logo Randstad · IT - Software Development

Mid-Level Data Engineer

Malaysia, Kuala Lumpur Employment contract 15000.00 - 20000.00 MYR / Month · Job Posted July 08, 2026
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Job Description

Randstad has partnered with a software solutions company, building innovative and reliable solutions for their clientele. Your future employers are building a tech team who are capable of keeping up with the latest technologies and aligned in building great solutions

Job Responsibility

  • Pipeline Development: Design, build, and maintain scalable, automated ETL/ELT data pipelines using Python and Apache Airflow
  • Data Warehousing: Manage and optimize data structures within our Cloud Data Warehouse (e.g., Snowflake, BigQuery, or Redshift) for maximum performance and cost efficiency
  • Data Quality: Implement automated testing, validation checks, and monitoring to ensure data accuracy and pipeline reliability
  • Collaboration: Partner closely with Data Analysts, Data Scientists, and product teams to understand their data needs and deliver clean, well-structured schemas
  • Code Quality: Write clean, documented, and production-grade code, participating actively in team code reviews

Requirements

  • 4+ years of professional experience in a data engineering role
  • Strong proficiency in Python (writing clean, modular code, handling APIs, and manipulating data)
  • Advanced SQL skills (writing complex queries, window functions, and optimizing performance)
  • Hands-on experience building, scheduling, and troubleshooting DAGs in Apache Airflow
  • Production experience working with a modern Cloud Data Warehouse (such as Snowflake, Google BigQuery, or AWS Redshift)
  • Familiarity with version control (Git) and standard CI/CD practices

Nice to have

  • Experience with data transformation tools like dbt (data build tool)
  • Exposure to Docker or Kubernetes
  • Basic understanding of cloud infrastructure (AWS, GCP, or Azure)

What we offer

  • Good Benefits
  • Career Growth Opportunities
  • Open Communication Culture
  • Good Incentives
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