Data Engineer (ETL & PySpark)
Singapore, Singapore, Singapore
SGD 90K-120K (estimate) Senior-level Full Time
Tasks
- Build data models and data marts
- Conduct code reviews and maintain technical documentation
- Design ETL ELT data pipelines
- Develop data processing solutions
- Ensure data governance and security
- Integrate data from APIs and databases
- Optimize spark jobs for performance
- Perform data cleansing and validation
- Troubleshoot production issues and root cause analysis
- Write optimized SQL queries
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Glue | Agile Scrum | Amazon EMR | Apache Airflow | Apache Hadoop | Apache Hive | Apache Kafka | Apache Spark | Azure | CI/CD | Cloud platform | Data Modeling | Data Warehousing | Databricks | Delta Lake | Docker | ELT | ETL | Git | Google Cloud | Google Cloud Platform | Kubernetes | Linux | PySpark | Python | SQL | Shell Scripting
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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