Senior Cloud Data Engineer
Tasks
- Architect scalable data pipelines and integrations
- Build star schema and snowflake schema models
- Collaborate with stakeholders to deliver analytics ready data products
- Design cloud data warehouse and lakehouse architectures
- Develop ETL ELT pipelines with Python and SQL
- Implement CI CD pipelines and data engineering automation
- Implement data quality reliability observability and performance best practices
- Ingest data from PostgreSQL and relational systems
- Ingest file based data from S3 Azure Blob and SFTP
- Master data into unified analytical models
- Optimize lakehouse storage and processing with Parquet
- Perform agile workflow planning with Jira
Perks/Benefits
- 401(a) retirement plan
- Dental insurance
- Disability insurance
- Health insurance
- Life insurance
- Paid time off
- Reduced rate public transit
- Tuition benefit
- Vision insurance
Skills/Tech-stack
AWS Lambda | Access Management | Agile | Airflow | Azure Blob | Azure Blob Storage | Azure Data | Azure Data Factory | Azure Functions | Azure Synapse | Blob Storage | CI/CD | Data Factory | Data Governance | Data Lakehouse | Databricks | Databricks Lakehouse | Docker | ELT | ETL | Encryption | FHIR | Git | GitHub Actions | HL7 | Identity and Access Management | Identity and access | Jira | Microsoft SQL | Microsoft SQL Server | Parquet | PostgreSQL | Prefect | Python | RESTful APIs | S3 | SFTP | SQL | SQL Server | Snowflake
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