Principal Software Engineer
Tasks
- Architect cloud-native data solutions
- Automate build test deployment and monitoring
- Build ETL and ELT solutions
- Design CI/CD pipelines for deployments
- Design and implement data pipelines
- Design data models for analytics and machine learning
- Develop data ingestion frameworks
- Develop production grade applications with Python
- Enable AI ML workflows with feature pipelines
- Ensure data quality data governance and observability
- Implement data lake and lakehouse architectures
- Manage infrastructure as code with Terraform or CloudFormation
- Mentor senior engineers and establish engineering standards
- Operationalize machine learning models
- Optimize data warehouse performance and costs
- Perform code reviews and establish engineering best practices
- Provide technical leadership across engineering teams
- Support model monitoring governance and deployment pipelines
Perks/Benefits
Skills/Tech-stack
AWS | Azure | Azure DevOps | CI/CD | Cloud platform | CloudFormation | Data Governance | Data Modeling | Data Observability | Data Quality | Databricks | Docker | ELT | ETL | Generative AI | GitHub Actions | GitLab CI | GitLab CI/CD | Google Cloud | Google Cloud Platform | Infrastructure as Code | Jenkins | Kafka | Kubernetes | LLM integrations | Language Models | Large Language Models | Machine Learning | Prompt engineering | Python | RAG | SQL | Snowflake | Spark | Terraform | Vector Databases | “as-code”
Education
N/A
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