Software Engineer [Data Engineer - Python, SQL, Snowflake, Cloud, Devops (CI/CD pipeline) AI (Co-pilot usage and prompt engineering/ Gen AI), Docker, Kubernetes]
Tasks
- Apply AI/ML concepts
- Build data models in Snowflake
- Collaborate with engineering stakeholders
- Configure infrastructure automation
- Create deployment automation scripts
- Design ETL/ELT pipelines
- Develop Azure Functions
- Develop data ingestion frameworks
- Develop stored procedures views and tasks
- Document technical designs and runbooks
- Ensure data quality and governance
- Implement Snowflake streams tasks and Snowpipe
- Integrate AI features into data platforms
- Manage Azure Storage Accounts
- Monitor data pipeline failures
- Optimize SQL queries
- Participate in agile ceremonies
- Participate in generative AI proof of concepts
- Perform query performance tuning
- Support CI/CD pipelines
- Support cloud-native data solutions
- Support data warehouse administration and security
- Support release management
- Use AI-assisted development tools
- Use Azure Key Vault
- Use Git source control
- Work with Azure Data Factory
Perks/Benefits
Skills/Tech-stack
Airflow | Azure Data | Azure Data Factory | Azure DevOps | Azure Functions | Azure Key Vault | Azure OpenAI | Azure Storage | Azure Storage Account | Azure Synapse | CI/CD | Data Factory | Data Modeling | Databricks | Docker | ELT | ETL | Generative AI | Git | GitHub Actions | Key Vault | Kubernetes | Power BI | Python | REST APIs | SQL | Snowflake | Storage Account | Terraform
Roles
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