Senior Data Engineer
Tasks
- Build ETL infrastructure
- Build cloud data pipeline architectures
- Communicate with client stakeholders
- Create data models
- Design and develop data integration pipelines
- Design data pipeline architectures
- Develop Python pipelines
- Develop Scala pipelines
- Develop Spark PySpark pipelines
- Lead and mentor data engineers
- Run performance testing for pipelines
- Support proposal and SOW development
Perks/Benefits
- Flexible remote work
- Health insurance
- Life insurance
- Long-term incentive programs
- Retirement plan
- Unlimited paid time off
Skills/Tech-stack
AWS | AWS Lambda | Amazon Redshift | Amazon S3 | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure Synapse | Azure Synapse Analytics | Cloud platform | Data Factory | Data Modeling | ETL | Google BigQuery | Google Cloud | Google Cloud Platform | Hadoop | Object-Oriented | Object-oriented programming | PySpark | Python | SQL | Scala | Snowflake | Synapse Analytics
Education
N/A
Roles
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