Senior Data Engineer
Tasks
- Build ETL and ELT processes
- Build and optimize data pipelines
- Design scalable data platforms
- Develop batch and real time ingestion frameworks
- Implement data governance security monitoring compliance
- Implement data lake data warehouse lakehouse architectures
- Integrate data platforms with AI ML and business intelligence
- Optimize data storage, processing, and query performance
- Perform data transformation, cleansing, validation
- Support data platform security and operational excellence
Perks/Benefits
- N/A
Skills/Tech-stack
ARM Templates | Agile | Apache Kafka | Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Databricks | Azure Event | Azure Event Hubs | Azure SQL | Azure SQL Database | Azure Stream | Azure Stream Analytics | Azure Synapse | Azure Synapse Analytics | Bicep | BigQuery | CI/CD | Data Factory | Data Governance | Data Lake Storage Gen2 | Data Quality | Data Warehousing | DataOps | Dataflows | Delta Lake | DevOps | Dimensional Modeling | Docker | ELT | ETL | Event Hubs | Git | Infrastructure as Code | Kubernetes | Lakehouse | MLOps | Metadata Management | Microsoft Azure | Microsoft Fabric | Microsoft Purview | OneLake | Power BI | PySpark | REST APIs | SQL | SQL Database | Scrum | Security | Snowflake | Stream Analytics | Synapse Analytics | Terraform | “as-code”
Education
N/A
Roles
Regions
Countries
States
Cities
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