Senior Data Engineer
Tasks
- Define and execute testing strategies for data pipelines
- Design develop deploy and operate data platforms pipelines and products
- Develop and maintain ELT/ETL pipelines
- Implement CI CD monitoring observability and auditing
- Optimize data pipelines and data models
- Provision and manage Azure resources for security and governance
- Source transform and deliver structured and unstructured data
- Translate business requirements into data solutions
- Troubleshoot production data engineering issues and drive continuous improvement
Perks/Benefits
Skills/Tech-stack
Apache Airflow | Audit Logging | Azure Data | Azure Data Factory | Azure Databricks | Azure Functions | Azure Logic | Azure Logic Apps | Azure Synapse | Azure Synapse Analytics | CI/CD | Containerization | DBT | Dagster | Data Architecture | Data Factory | Data Lineage | Data Modeling | Data Quality | Data Vault | Data Vault 2.0 | Data Warehousing | Dimensional Modeling | ELT | ETL | GitHub Actions | Infrastructure as Code | Kimball | Logic Apps | Microsoft Azure | Monitoring | Observability | Power BI | Prefect | PySpark | Python | SQL | Snowflake | Synapse Analytics | “as-code”
Education
N/A
Roles
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