ABOUT THE JOB
As a Data Engineer, you will design, develop, and maintain cloud-based data infrastructure, ensuring efficient data ingestion, transformation, and integration. You will work with modern data technologies to support analytics while ensuring data quality, security, and scalability.
- Develop and manage the companys data lake and CDP, handling both batch and real-time data integration.
- Use IBM DataStage, Azure Data Factory (ADF), and Confluent Cloud (Kafka) to collect, verify, and transform data.
- Implement data pipelines following the bronze-silver-gold architecture, ensuring data accuracy and security.
- Perform data transformation with Azure Databricks (PySpark, Spark SQL) and optimize performance.
- Support AI/ML projects by preparing high-quality, structured data for predictive models.
ABOUT YOU
- Bachelors degree in computer science, data engineering, or a related field.
- 4-6 years of experience in data engineering.
- Strong skills in data processing, SQL, Spark, PySpark, and Databricks.
- Experience in real-time & batch data pipelines (Kafka, Delta Lake).
- Experience with Power BI for reporting; knowledge of Qlik is a plus.
- Strong problem-solving skills, attention to detail, and team-oriented mindset.
WHY AMARIS
- 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.
