MAPLE LABS

ABOUT YOU
Bachelor's degree in computer science, data engineering or a related field.
2+ years of hands-on experience in data engineering, especially with Azure Data Lake Storage, Azure Databricks, and Azure Data Factory.
Proficiency in programming languages such as Python, SQL, and/or Scala.
Strong foundation in data engineering principles and best practices, including data loading, partitioning, and indexing in RDBMS environments.
Knowledge of data modeling, ETL processes, and data warehousing concepts.
Analytical mindset with excellent problem-solving skills.

Benefits
13th-month salary
14+ annual leaves per year
Premium healthcare insurance, starting from your probation period
Project reviews and yearly performance appraisals
Annual company trips
Teambuilding activities: Team lunch/dinner, events, and celebrations, sports clubs (football, yoga, badminton, etc.)
International team with flexible working time + hybrid working
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 promoting 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.