Cloud Data Engineer (Snowflake/Databricks)
Tasks
- Build data transformation workflows
- Design scalable ETL/ELT data pipelines
- Develop data models using star schema and lakehouse
- Develop datasets and data products for analytics
- Establish data quality and governance practices
- Implement workflow orchestration with Airflow
- Improve platform architecture performance scalability and reliability
- Ingest and transform large volume data
- Monitor pipeline reliability and data accuracy
- Optimize SQL query performance
- Optimize data processing efficiency and cloud costs
- Support batch and streaming data processing
Perks/Benefits
Skills/Tech-stack
AWS | Amazon Kinesis | Apache Airflow | Apache Spark | Cloud platform | DBT | Data Modeling | Databricks | ELT | ETL | Google Cloud | Google Cloud Platform | Google Pub/Sub | Kafka | Lakehouse | Microsoft Azure | Pub/Sub | Python | SQL | Snowflake | Star Schema
Education
N/A
Roles
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