Senior Data Engineer
Tasks
- Build lakehouse and warehouse models
- Design and develop data platform architectures
- Develop Power BI semantic models and reports
- Develop scalable ingestion transformation and orchestration pipelines
- Ensure data security and compliance
- Gather requirements
- Implement CI/CD pipelines for data workloads
- Implement ELT frameworks and data governance
- Implement Snowflake cloud data platforms
- Mentor junior engineers
- Optimize performance and cost of data solutions
- Translate functional requirements into technical solutions
Perks/Benefits
- 401k retirement plan
- Employee assistance program
- Fully remote
- Health spending account
- Life insurance
- Long-term disability
- Medical, dental, and vision
- Short-term disability
- Time Off Leave
- Transportation benefits
Skills/Tech-stack
Access Control | Agile | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure DevOps | Azure SQL | Azure Synapse | Azure Synapse Analytics | CI/CD | CSV | Copy command | Data Engineering | Data Factory | Data Governance | Data Lake Storage Gen2 | Data Quality | Data Sharing | DevOps | Dimensional Modeling | Dynamic Tables | ELT | ETL | Git | JSON | Lakehouse | Medallion Architecture | Microsoft Azure | Microsoft Azure Data | Microsoft Azure Data Factory | Microsoft Fabric | OneLake | Parquet | Power BI | Purview | Python | SQL | Security and Access Control | Security and access | Snowflake | Snowflake Schema | Snowpipe | Star Schema | Streams | Synapse Analytics | Synapse Data Engineering | Tasks | Virtual Warehouses | XML
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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