Senior Data Engineer
Tasks
- Automate pipeline build and testing
- Build SQL for data processing
- Build data development standards and principles
- Build data quality models
- Collaborate with Data Scientists on pipelines
- Deliver in agile development environment
- Design and develop ETL and ELT pipelines
- Design data ingestion frameworks
- Design semantic models in Snowflake
- Ensure ingestion and data delivery framework effectiveness
- Implement retrieval-augmented generation workflows
- Ingest validate curate and prepare data
- Lead mentor and guide team members
- Support generative AI training data pipelines
- Translate requirements into data design
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Analysis Services | Azure | Azure Analysis | Azure Analysis Services | Azure Data | Azure Data Factory | Azure Logic | Azure Logic Apps | Azure Machine Learning | Azure Stream | Azure Stream Analytics | CI/CD | Change Data Capture | Code Management | Configuration Management | Data Capture | Data Engineering | Data Factory | Data Modeling | Data Warehousing | Databricks | Dimension Table | ELT | ETL | Fact Table | Hadoop | Hive | Logic Apps | Machine Learning | MapReduce | Performance | Pig | Power Automate | Python | SAP HANA | SQL | SSAS | Security | Slowly Changing Dimensions | Snowflake | Snowflake Schema | Snowpipe | Source Code | Source Code Management | Spark | Star Schema | Stream Analytics | Tez
Education
N/A
Roles
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