16 việc làm data engineer

• Operate and deploy ETL jobs, ensuring data consolidation and processing.
• Design and develop scalable jobs to efficiently manage data.
• Build or work with data processing frameworks.
• Develop and deploy services utilizing technologies from the Hadoop, Kafka, Spark, and Databricks ecosystem.
• Collaborate with cross-functional teams, including Operations, Product, and Business Analysis.

REQUIREMENTS:

• Strong programming skills in SQL, Python (especially Spark), and Scala, with debugging experience.
• Experience in big data systems and Data Warehouses.
• In-depth knowledge of Data Warehouse (DWH) and Data Lake House (DLH) architectures.
• Familiarity with AWS Cloud services (Glue, Athena, S3, DynamoDB, Step Functions, etc.).
• English communication skills are a plus.

• Training and career development opportunities.
• Competitive salary package, including 13th and 14th-month salaries, project bonuses, and KPI-based incentives.
• Additional bonus package of 16 million VND per year (covering Tet, New Year, birthdays, company anniversaries, and other special occasions).
• Biannual salary reviews or performance-based salary adjustments.
• Exposure to the latest technology trends and career growth in an international company.
• Work on large-scale global software products.
• Onsite work opportunities in the US and EU for short-term and long-term assignments.
• 12 days of paid annual leave, plus birthday gifts.
• Comprehensive employee benefits following Vietnamese labor laws, including PTI care, company trips, and holiday events.
• Participation in company leisure activities, including sports and cultural events (e.g., football club, family day, happy hour).
• Standard 8-hour workday from Monday to Friday with flexible working hours (check-in between 8:00–9:00 AM, check-out between 5:00–6:00 PM).