HPG Big Data Engineer / Senior-Level
Nashville, TN, United States
USD 119K-164K (estimate) Senior-level Full Time
Tasks
- Analyze business requirements
- Bring new data sources into GCP and HDFS
- Build Azure data ecosystem
- Collaborate with business analysts and customers on requirements
- Design master data management solutions
- Execute development with Agile
- Gather requirements design and construct solutions
- Integrate master data management solutions
- Lead design, development, deployment and support
- Manage deployment change configuration and maintenance
- Manage production support and service levels
- Support data migration between clusters
- Transform and load data to databases
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Functions | Azure Kubernetes | Azure Kubernetes Service | Azure Queue | Azure Queue Storage | Azure Synapse | Azure Synapse Pipelines | Azure Table | Azure Table Storage | Data Lake Storage | ETL | GCP | Hadoop HDFS | Kubernetes Service | Log Analytics | Microsoft SQL | Microsoft SQL Server | PostgreSQL | Python | Queue Storage | SQL Server | Synapse Pipelines | Table Storage
Education
Roles
Big Data Engineer | Data Engineer | Engineer | Senior Data Engineer
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