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AirAsia

Senior Data Engineer

AirAsia Kuala Lumpur, Kuala Lumpur, Malaysia

Airlines and Aviation · 10,001+ employees

Sep 15
data-engineer Mid (2-5 yrs) Full-time Malaysia
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About the role

The Senior Data Engineer will manage data integrity, system troubleshooting, and pipeline optimization to ensure operational excellence. They will also collaborate with cross-functional teams to align data deliverables with organizational goals and improve data governance.

What they look for

Python Spark Airflow Terraform SQL NoSQL Data ETL Pipeline management Stream processing Containerisation Orchestration GCP Git Jira Confluence Distributed computing

Requirements

Candidates must hold a degree in IT, Mathematics, Science, or Engineering with at least 4 years of relevant experience. Proficiency in Python or Spark, SQL/NoSQL databases, and cloud-based services like GCP is required.

Benefits

Medical insurance Maternity expenses Flexible work arrangement Health and fitness amenities Paid time off Wellness programmes Childcare amenities Financial and career growth programmes Free flights Unlimited discounted flights Exclusive partner discounts

Full description

Job Description

WHAT YOU’LL CHAMPION:

As a Senior Data Engineer, your day-to-day duties will encompass the following areas: 

  • Operational Excellence: Provide essential operational support, including system troubleshooting and implementing technical fixes. 
  • Data Quality Assurance: Ensure absolute data integrity and data quality across environments. 
  • Process Optimization: Continuously improve internal processes through automation, pipeline optimization, and infrastructure re-design. 
  • Cross-Functional Collaboration: Support and collaborate closely with cross-functional and multidisciplinary teams in a fast-paced environment. 
  • Data Impact: Leverage data visualization tools and techniques to maximize the business impact and intrinsic value of data. 
  • Internal Stakeholder Management: Manage technical communication, alignment, and relationships with internal business units, product managers, and engineering teams to ensure data deliverables align with organizational goals. 
  • Governance & Compliance: Contribute to improving data governance policies and maintaining data compliance standards. 
  • Continuous Learning: Keep continuously current with the latest technical and industry developments. 

WHO YOU ARE:

  • BS/MS/PhD in IT, Mathematics, Science or Engineering discipline Up to 4+ yrs relevant experience beyond first degree
  • Experience with one of the following languages: Python, Spark
  • Experience with DAG, airflow, terraform
  • Familiar with data ETL from a wide variety of data sources.
  • Experience with SQL and NoSQL databases.
  • Experience with pipeline and workflow management tools.
  • Experience with various messaging and stream processing.
  • Experience with object-oriented/object function scripting languages.
  • Familiar with containerisation and orchestration tools.
  • Familiar with one of the following cloud-based services: GCP and its tools and services.
  • Ability to work under pressure and change, and balance among speed, reliability, and interpretability.
  • Good working knowledge of productivity tools such as G Suite, Git, Jira, Confluence.
  • Experience with code versioning, code review and documentation.
  • Proficient understanding of distributed computing principles.
  • Able to select and integrate big data tools and frameworks.
  • Familiar or prone to adopt design thinking methods.
  • Openness to experimenting with new techniques and new ways of working.

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WHAT YOU’LL ENJOY:

  • Physical Wellbeing: Key medical and insurance benefits, maternity expenses, flexible work arrangement, and health and fitness amenities.
  • Emotional Wellbeing: Paid time off, wellness programmes, and childcare amenities. 
  • Financial Wellbeing: Resources relating to financial, personal skills and career growth programmes.
  • Allstars Specials: Free flights, unlimited discounted flights, and exclusive discounts with partners. 
  • A unique Allstar culture like no other 

OUR HIRING PROCESS:

  • Application received
  • Candidate screening
  • Interview(s) and assessment(s)
  • Background check and/or other assessments
  • Offer and negotiation

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