Senior DataOps Engineer
Tasks
- Build and operate data pipelines
- Collaborate on data governance
- Collaborate on data privacy
- Collaborate on data security
- Collaborate with data scientists
- Deploy support and operate data pipelines
- Develop data models
- Develop data processing pipelines
- Develop modern data architecture approaches
- Implement data models using technology stack
- Incorporate data quality
- Select distributed storage and computing technologies
- Write code using Test Driven Development
Perks/Benefits
Skills/Tech-stack
AI Search | AI Services | Azure AI | Azure AI Search | Azure AI Services | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Databricks | Azure Document Intelligence | Azure Machine Learning | Azure OpenAI | Azure Synapse | Azure Synapse Analytics | Continuous Delivery | Data Architecture | Data Engineering | Data Factory | Data Governance | Data Lake | Data Lake Storage Gen2 | Data Modeling | Data Privacy | Data Quality | Data Security | Data Visualization | Data mesh | Data pipeline | Distributed Computing | Distributed Storage | Document Intelligence | ELT | ETL | IT Service Management | IT service | Language Understanding | Machine Learning | NoSQL | SQL | Service Management | ServiceNow | Splunk | Synapse Analytics | Test-Driven | Test-Driven Development
Education
N/A
Roles
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