Senior Data Engineer
Orlando, FL, United States
USD 119K-180K (estimate) Senior-level Full Time
Tasks
- Architect data solutions across cloud services
- Build and deploy containerized pipeline jobs
- Collaborate with analytics BI and business stakeholders
- Create clean documented data models for analytics
- Design and build scalable data pipelines
- Design idempotent fault tolerant pipelines with logging and retries
- Develop Python ETL and ELT pipelines
- Enforce data security and access governance
- Implement infrastructure as code with version controlled deployments
- Implement layered medallion architecture patterns
- Ingest and transform data from APIs and flat files
- Maintain technical documentation and runbooks
- Manage data movement between on premise SQL Server and cloud targets
- Mentor junior engineers and improve engineering standards
- Monitor platform health and optimize cost
Perks/Benefits
- N/A
Skills/Tech-stack
ANSI SQL | AWS S3 | Amazon Redshift | Azure Container | Azure Container Apps | Azure Container Apps Jobs | Azure Container Registry | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Key Vault | Azure SQL | Azure SQL Database | Bicep | CI/CD | Container Registry | DBT | Data Factory | Data Lake Storage | Data Modeling | Data Pipelines | Dimensional Modeling | Docker | EC2 | ELT | ETL | Entity Relationship Modeling | Entity relationship | Event Hub | Fabric Data Pipelines | Git | GitHub Actions | Kafka | Key Vault | Kinesis | Medallion Architecture | Microsoft Fabric | OneLake | Power BI | Python | RDS | Relationship Modeling | SQL Database | SQL Server | Snowflake Schema | Star Schema | T-SQL | Tableau | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology
Roles
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