Data Engineer (Dong Nai)
Indexed description
ABOUT THE JOB
- Shuttle bus provided for travelling between Dong Nai and Ho Chi Minh City
- Build and maintain scalable data pipelines using Azure Data Factory and Azure Databricks
- Transform and load data into Azure Data Lake Storage, ensuring data quality and compliance
- Develop efficient ETL processes aligned with data engineering best practices
- Monitor and troubleshoot pipeline issues, optimizing performance
- Implement partitioning and indexing strategies to enhance data access
- Collaborate with stakeholders to define data requirements and deliver business value
- Apply data modeling techniques to design robust data warehouses
- Document pipeline architecture and processes for technical teams.
ABOUT YOU
- Bachelor’s degree in data engineering or related fields
- 2+ years of experience in data engineering, data modeling and data warehousing concepts
- Experience with Azure Data Lake Storage, Azure Databricks, Azure Data Factory
- Experience with Python, SQL and/or Scala
- Strong understanding of data engineering principles: data loading, indexing, partitioning, RDBMS
- Ability to synthetize and solve complex data-related problems
WHY AMARIS?
- Competitive salary and 13th-month salary
- 14+ annual leaves per year
- Premium healthcare insurance, starting from your probation period
- Project reviews and yearly performance appraisals
- Annual company trip
- Teambuilding activities: Team lunch/dinner, events, and celebrations, sports clubs (football, basketball, badminton, pickleball)
- International team with flexible working time
- Tailor-made career path
- Technical workshops and training courses
- Mobility: Opportunities to be on-site abroad in our offices in over 60+ countries
Equal Opportunity
Amaris Consulting is proud to be an equal opportunity workplace. We are committed to promote diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
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