Senior Data Engineering
Tasks
- Apply dataops best practices
- Build ETL and ELT processes on AWS
- Build RAG-architectures
- Build knowledge ingestion pipelines for generative AI
- Design batch data pipelines
- Design near real-time data pipelines
- Develop data products for Data Science
- Develop data products for analytics and BI
- Develop data products for generative AI
- Ensure Data Lineage
- Ensure data governance
- Ensure data performance
- Ensure data quality
- Ensure data security
- Implement CI/CD pipelines
- Implement infrastructure-as-code
- Implement observability
- Integrate with Amazon Bedrock
- Maintain Lakehouse architecture
- Optimize Apache Spark pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Glue | AWS IAM | AWS Lambda | AWS Step Functions | Amazon Bedrock | Amazon CloudWatch | Amazon ECS | Amazon EKS | Amazon EMR | Amazon S3 | Apache Airflow | Apache Iceberg | Apache Spark | CI/CD | ELT | ETL | GitLab CI | GitLab CI/CD | Lakehouse | Langchain | Langgraph | MWAA | PySpark | Python | RAG | SQL | Scala | Step Functions | Terraform | Vector Database
Education
Roles
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