Data Engineer
USD 95K-140K (estimate) Mid-level Full Time
Tasks
- Automate Snowflake data loading
- Build and maintain feature stores
- Collaborate with MLOps data science and AI teams
- Create production data pipelines for machine learning
- Design ETL/ELT pipelines
- Design cross platform data workflows
- Enable secure connectivity and access
- Implement data quality validation and observability
- Implement generative AI data extraction and chunking
- Optimize Snowflake compute and storage
- Optimize storage compute and query performance
- Orchestrate data movement across multi cloud
Perks/Benefits
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS S3 | AWS Step Functions | Amazon Web Services | Apache Airflow | Azure Blob | Azure Blob Storage | Azure Data | Azure Data Factory | Azure SQL | Azure SQL Database | Azure Synapse | Blob Storage | DB2 | Data Factory | Data Modeling | Data Sharing | Docker | ELT | ETL | Feature Engineering | Machine Learning | Microsoft Azure | PySpark | Python | RDS | SQL | SQL Database | Snowflake | Snowpipe | Step Functions | Vector Databases | Web Services
Education
Master of Engineering | Master of Science | Master of Science in Computer Science | Master of Science in Data Engineering
Roles
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