Axrail
Data Engineer
Kuala Lumpur
Overview
Transform Data into Intelligence with AWS & AI Innovation
At Axrail, an AWS Premier Partner in Malaysia, we're bridging data engineering with cutting-edge AI to solve real-world challenges. We're looking for a Data Engineer who thrives on building scalable data pipelines.
Whether you're a fresh graduate with a passion for data or an experienced engineer ready to build data pipelines, this role lets you work with PySpark in a hybrid environment.
Join us to shape the future of data-powered decision-making!
Key Responsibilities
Data Engineering Excellence
Develop and optimize ETL pipelines for structured/unstructured data using PySpark, Glue, and Redshift.
Ensure data integrity, security, and scalability across all pipelines.
Dashboard & Visualization
Develop interactive dashboards (using QuickSight or Tableau) to visualize complex datasets.
Collaborate with stakeholders to translate data into business insights.
Performance Optimization
Fine-tune PySpark jobs, SQL queries for cost/performance efficiency.
Proactively monitor and resolve data pipeline bottlenecks.
️ AWS & Cloud-Native Development
Deploy and manage serverless data workflows (Lambda, Step Functions).
Stay ahead of AWS’s latest data/AI services (e.g., Q, SageMaker new features)
Key Attributes for Success
Problem-Solver: You debug data chaos and optimize pipelines like a pro.
AI Explorer: You’re curious about GenAI’s role in data engineering (e.g., synthetic data generation).
Visual Storyteller: You turn complex data into clear, impactful visualizations.
Team Player: You thrive in cross-functional teams (data scientists, business analysts, engineers).
Qualifications
Bachelor’s degree in Computer Science, Data Science, or related fields (or equivalent experience).
Experienced candidates (3+ years) in building and fine-tuning data pipelines.
Fresh graduates with prior hands-on data/AI projects (academic or personal) are welcome to apply!
What You Bring
️ Technical Skills
PySpark & AWS Glue: For large-scale ETL and data processing.
AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn.(Nice to have)
Cloud Data Tools: Redshift, S3, EMR, SageMaker.
Dashboarding: QuickSight, Tableau, or Power BI.
Bonus:
AWS Certifications (Data Analytics, Machine Learning Specialty).
Generative AI experience (e.g., prompt engineering, LLM fine-tuning).
Benefits
Competitive salaries
Career growth opportunities
️ Flexible working hour
Attractive benefits
✨ If this sounds interesting, we would love to hear from you. Please include whatever info you believe is relevant: resume, GitHub profile, code samples, links to personal projects, etc.
Transform Data into Intelligence with AWS & AI Innovation
At Axrail, an AWS Premier Partner in Malaysia, we're bridging data engineering with cutting-edge AI to solve real-world challenges. We're looking for a Data Engineer who thrives on building scalable data pipelines.
Whether you're a fresh graduate with a passion for data or an experienced engineer ready to build data pipelines, this role lets you work with PySpark in a hybrid environment.
Join us to shape the future of data-powered decision-making!
Key Responsibilities
Data Engineering Excellence
Develop and optimize ETL pipelines for structured/unstructured data using PySpark, Glue, and Redshift.
Ensure data integrity, security, and scalability across all pipelines.
Dashboard & Visualization
Develop interactive dashboards (using QuickSight or Tableau) to visualize complex datasets.
Collaborate with stakeholders to translate data into business insights.
Performance Optimization
Fine-tune PySpark jobs, SQL queries for cost/performance efficiency.
Proactively monitor and resolve data pipeline bottlenecks.
️ AWS & Cloud-Native Development
Deploy and manage serverless data workflows (Lambda, Step Functions).
Stay ahead of AWS’s latest data/AI services (e.g., Q, SageMaker new features)
Key Attributes for Success
Problem-Solver: You debug data chaos and optimize pipelines like a pro.
AI Explorer: You’re curious about GenAI’s role in data engineering (e.g., synthetic data generation).
Visual Storyteller: You turn complex data into clear, impactful visualizations.
Team Player: You thrive in cross-functional teams (data scientists, business analysts, engineers).
Qualifications
Bachelor’s degree in Computer Science, Data Science, or related fields (or equivalent experience).
Experienced candidates (3+ years) in building and fine-tuning data pipelines.
Fresh graduates with prior hands-on data/AI projects (academic or personal) are welcome to apply!
What You Bring
️ Technical Skills
PySpark & AWS Glue: For large-scale ETL and data processing.
AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn.(Nice to have)
Cloud Data Tools: Redshift, S3, EMR, SageMaker.
Dashboarding: QuickSight, Tableau, or Power BI.
Bonus:
AWS Certifications (Data Analytics, Machine Learning Specialty).
Generative AI experience (e.g., prompt engineering, LLM fine-tuning).
Benefits
Competitive salaries
Career growth opportunities
️ Flexible working hour
Attractive benefits
✨ If this sounds interesting, we would love to hear from you. Please include whatever info you believe is relevant: resume, GitHub profile, code samples, links to personal projects, etc.
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