Senior Data Engineer
Tasks
- Build pipelines with version control and CI CD
- Collaborate with stakeholders and mentor teams
- Create technical design documentation
- Design Lakehouse architecture
- Develop ELT pipelines
- Enable AI/ML use cases
- Ensure data security and compliance
- Implement data quality testing and observability
- Optimize workflow performance and cost
- Orchestrate schedule and monitor pipelines
- Work in Agile Scrum
Perks/Benefits
Skills/Tech-stack
AWS Kinesis | Access Control | Agile | Apache Airflow | Azure | Azure DevOps | Azure Event | Azure Event Hubs | CI/CD | DAX | DBT | Dagster | Data Engineering | Data Modeling | Data Observability | Data Quality | Data Quality Testing | Data Warehouse | Data masking | Databricks Unity | Databricks Unity Catalog | Databricks Vector Search | Debezium | Delta Live Tables | Delta Live) | ELT | Encryption | Event Hubs | Feature Engineering | Fivetran | Git | Governance | Kafka | Lakehouse | LookML | Looker | Medallion Architecture | Model Serving | Performance Tuning | Power BI | Prefect | Python | Quality testing | Role-Based Access | Role-Based Access Control | SQL | Scrum | Spark SQL | Storage Optimization | Streaming Ingestion | T-SQL | Tableau | Terraform | Unity Catalog | Vector Search | Workflow Orchestration
Education
Roles
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