Data Engineer responsible for collecting, sanitizing, and transforming data from multiple sources to make it available for analysis and reporting. Ensures the smooth operation of the data warehouse and works closely with a global team.
Requirements
- Bachelor's degree or higher in Data Science, Data Engineering, Business Intelligence, Business Administration, or a related field
- 2+ years of working experience as a Data Engineer or Data Warehouse Developer
- Hands-on experience with Microsoft Azure and AWS data engineering pipelines
- Excellent knowledge of database and dimensional modeling techniques
- Strong experience with Azure Data Factory, Azure Databricks, Python (NumPy, Pandas), ADLS, Azure Event Hub, and Azure SQL DB
- Familiarity with AWS Glue, S3, Athena, Redshift, and Lambda is highly desirable
- Excellent command of SQL, T-SQL, Python, and PySpark
- Practical experience with Agile and Scrum methodologies
- Strong communication and analytical skills
Benefits
- Flexi-Week and Work-Life Balance
- Flexi-Office
- Remote Working Allowance
- Health & Well Being
- Development
- Appreciation