Senior Data Engineer – Cloud Platforms (Azure | GCP | AWS)
Tasks
- Build ETL/ELT pipelines
- Build reusable data transformation scripts
- Create semantic models and dashboards
- Deploy and maintain data pipelines via CI CD
- Design cloud data platforms
- Develop Data Lakehouse architectures
- Enable analytics reporting
- Implement data ingestion and transformation
- Orchestrate data pipelines
- Validate and automate data processing
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS Lambda | Airflow | Amazon Redshift | Amazon S3 | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Databricks | Azure SQL | Azure SQL Database | Azure Synapse | Azure Synapse Analytics | BigQuery | CI/CD | Cloud Composer | Cloud Functions | Cloud Storage | Cloud platform | Data Factory | Data Lake Storage | Databricks Workflows | Dataflow | Dataflows Gen2 | Git | Google Cloud | Google Cloud Platform | Lakehouse | Looker Studio | Microsoft Fabric | Microsoft Power | Microsoft Power BI | MySQL | Notebooks | PostgreSQL | Power BI | PubSub | Python | SQL | SQL Database | SQL Server | Synapse Analytics
Education
N/A
Roles
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