Data Engineer/Lead Developer
Tasks
- Build ETL and ELT pipelines
- Build Text to SQL systems
- Build and enhance investment data warehouse architecture platform
- Build and maintain CI CD pipelines for data and ML workflows
- Conduct statistical analysis and predictive analytics
- Create interactive analytics dashboards
- Design dimensional models star schema
- Develop and deploy generative business intelligence and AI ML use cases
- Ensure cost effective secure scalable solutions
- Implement containerization and orchestration
- Implement semantic layers and dbt models
- Monitor tune and log AI ML and GenBI solutions
- Perform data integration cleaning and transformation
- Prototype AI/ML models
- Provide knowledge transfer to client staff
- Provide technical leadership and solution guidance
- Recommend solutions based on technology trends
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Amazon SageMaker | Ansible | Azure ML | Azure Synapse | BigQuery | CI/CD | DBT | Data Modeling | Databricks | Dimensional Modeling | Docker | ELT | ETL | Google Vertex | Google Vertex AI | Kubernetes | Looker | Natural Language | Natural Language to SQL | OpenAI | Power BI | Prompt engineering | PyTorch | Python | React | Redshift | SQL | Scikit-learn | Semantic layer | Snowflake | Star Schema | Streamlit | Tableau | TensorFlow | Terraform | Text-to-SQL | Vertex AI
Education
N/A
Roles
Data Engineer | Developer | Engineer | Lead | Lead Developer
Regions
Countries
States
Cities
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