Big Data Engineer Python/Java/Hadoop

• Design, implement, and operate the Enterprise Big Data warehouse to ensure it works smoothly in a big firm.
• You will be working with various stakeholders to ensure highest quality of data
• Implement and enforce security best practices
• Participate in code reviews, and coach other members
• Support lower-level engineers for BAU works, data onboarding and production deployment if needed.

Required:

• At least 3 years of working experience in relevant positions
• Experience on Python , espeically Pyspark
• Experience on Hadoop, Spark, Hive and ETL (Extract, Transform, Loading)
• Experience on Java: Springboot, you can write Spark applications in Java
• Experience with Data pipeline: Airflow
• Experience on Shell/Bash
• Google cloud GCP is a Big plus
• Working proficiency in English, both verbal and writing

Nice to have:

• Family with Linux command line
• CI/CD: Bamboo, Github Actions

• 18 paid leaves/year (12 annual leaves and 6 personal leaves)
• Insurance plan based on full salary + 13th month salary + Performance bonus
• Meal allowance of 730,000 VND/month
• 100% full salary and benefits as an official employee from the 1st day of working
• Medical benefit for employee and family
• Working in a fast-paced, flexible, and multinational working environment. Chance to travel onsite (in 53 countries)
• Free snacks, refreshment, and parking
• Internal training (Technical & Functional & English)
• Working time: 8:30 AM - 6:00 PM from Mondays to Fridays