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Thakral One

Data Engineer

Thakral One Kuala Lumpur, Kuala Lumpur, Malaysia

IT Services and IT Consulting · 501-1,000 employees

4 h ago
data-engineer Senior (5-10 yrs) Full-time Malaysia
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About the role

Design, develop, and maintain modular data pipelines and ETL/ELT workflows using tools like Airflow and Spark. Collaborate with cross-functional teams to integrate AI/ML models and ensure data quality and governance.

What they look for

Python SQL Airflow Spark Azure Data Factory AzureML Synapse Blob Storage Azure SQL AWS S3 AWS ECS AWS RDS AWS EC2 ETL/ELT Data Governance Data Pipelines

Requirements

Requires 3–7 years of hands-on experience in data engineering with strong proficiency in Python and SQL. Candidates must have working knowledge of the Azure data ecosystem and familiarity with AWS services.

Full description

Job Description 

  • Design, develop, and maintain data pipelines using Airflow
  • Build modular and incremental data flows that allow efficient refresh cycles and minimize redundant runs
  • Collaborate with cross-functional teams to integrate AI/ML models into production data environments
  • Develop ETL/ELT workflows to ingest and transform data from multiple telecom and operational systems
  • Ensure data quality, version control, and governance through consistent documentation and reusable components
  • Participate in troubleshooting and optimization of data processes to ensure reliability, scalability, and performance
  • Contribute to domain logic validation in partnership with business and analytics teams

Skills/Experience 

  • 3–7 years of hands-on experience in data engineering or related roles.
  • Strong proficiency in Python, SQL, and modern data frameworks (e.g., Airflow, Spark)
  • Working knowledge of Azure data ecosystem (Data Factory, AzureML, Synapse, Blob Storage, Azure SQL, etc.)
  • Familiarity with AWS services (S3, ECS, RDS, EC2)
  • Experience designing incremental / modular data pipelines and integrating APIs or external data source
  • Strong understanding of data governance, versioning, and access management practices
  • Excellent problem-solving skills, structured thinking, and strong communication

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