Data Engineer Senior
Bloomington, MN, United States
USD 119K-165K (estimate) Senior-level Full Time
Tasks
- Build data pipelines
- Clean and integrate data
- Design scalable data architecture
- Develop data models and specifications
- Implement data governance & compliance
- Monitor system performance and troubleshoot issues
- Optimize data ingestion and processing
- Perform root cause analysis
- Provision data on demand
- Run unit tests and code reviews
- Transform and validate data
- Write SQL queries and stored procedures
Perks/Benefits
Skills/Tech-stack
Agile | Apache Flink | Apache Hive | Apache Kafka | Apache NiFi | Apache Sqoop | Application Insights | Azure | Azure Application Insights | Azure Cosmos | Azure Cosmos DB | Azure Data | Azure Data Factory | Azure Synapse | Azure Synapse Analytics | CI/CD | Cosmos DB | Data Factory | DataOps | Databricks | Git | Graph Databases | Infrastructure as Code | Java | Jenkins | Jupyter | Matplotlib | Microsoft Power | Microsoft Power BI | Microsoft SQL | Microsoft SQL Server | MongoDB | MySQL | NumPy | Oracle | Pandas | PostgreSQL | Power BI | Python | R | Reliability Engineering | SQL | SQL Server | Site Reliability | Site Reliability Engineering | Spark | Stored Procedures | Synapse Analytics | Triggers | Unit Testing | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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