Data Engineering
Tasks
- Build Databricks notebooks jobs workflows
- Design scalable ETL/ELT pipelines
- Develop backend data services and APIs
- Implement data quality checks monitoring alerting and recovery
- Ingest transform validate and load data from sources
- Integrate data with GenAI RAG and vector search workflows
- Model and optimize data for analytics reporting and lakehouse use cases
- Perform CI CD deployment and production support
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Amazon Redshift | Apache Spark | Azure | CI/CD | DBT | Data Quality | Databricks | Delta Lake | Docker | ELT | ETL | Embeddings | FastAPI | Flask | Git | GitHub | Jenkins | LLM integration | Langchain | Matillion | MySQL | OpenSearch | Oracle | PostgreSQL | Prompt engineering | PySpark | Python | RAG | REST APIs | SQL | SQL Server | Snowflake | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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