Data Engineer (Data Bricks)
Tasks
- Build PySpark data pipelines
- Design data engineering pipelines
- Develop and optimize Spark processing solutions
- Develop production cloud based data platforms
- Ensure data quality testing monitoring reliability
- Implement data ingestion and enrichment workflows
- Model data for analytics and AI ML
- Optimize Spark jobs and Databricks workloads
- Prepare data for AI ML and RAG
- Process unstructured and semistructured data
- Transform and cleanse large datasets
Perks/Benefits
- N/A
Skills/Tech-stack
AI/ML | Amazon Web Services | Apache Spark | Azure | CI/CD | Chunking | Compliance | Data Architecture | Data Cleansing | Data Enrichment | Data Governance | Data Ingestion | Data Lineage | Data Modeling | Data Security | Data Transformation | Databricks | Delta Lake | Delta Tables | Document processing | Embeddings | Google Cloud | Lakehouse | PySpark | Python | RAG | Semistructured Data | Unstructured Data | Vector Search | Web Services
Education
N/A
Roles
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