Data Engineering
Tasks
- Build data engineering solutions
- Collaborate with cross-functional teams to deliver solutions
- Design data models and curated datasets
- Design scalable ETL/ELT pipelines
- Develop and optimize Databricks notebooks jobs workflows
- Develop backend services and APIs for data access
- Implement data quality checks and monitoring
- Ingest transform validate and load data from sources
- Integrate enterprise data with LLM applications
- Participate in CI CD and production support
- Support RAG and LangChain based workflows
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS EMR | AWS Glue | AWS Lambda | AWS RDS | Airflow | Amazon EC2 | Amazon ECS | Amazon Redshift | Amazon S3 | Amazon SQS | Apache Spark | Azure | Azure Blob | Azure Blob Storage | Azure Data | Azure Data Lake | Azure Data Lake Storage | Blob Storage | CodePipeline | DBT | Data Lake Storage | Databricks | Delta Lake | Docker | ELT | ETL | Embeddings | FastAPI | Flask | Git | Jenkins | Langchain | Matillion | MySQL | OpenSearch | Oracle | PostgreSQL | PySpark | Python | RAG | REST APIs | SQL | SQL Server | Snowflake | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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