Director - Data Engineering
Tasks
- Architect cloud data platforms
- Build Data Lakes and Data Warehouses
- Build and mentor data engineering teams
- Design data pipelines
- Enable real-time and batch processing
- Ensure data governance
- Ensure data quality
- Ensure data security compliance privacy
- Establish system performance benchmarks
- Evaluate new data tools and frameworks
- Implement ETL/ELT processes
- Implement data modeling
- Lead data engineering strategy
- Oversee data integration
Perks/Benefits
Skills/Tech-stack
AWS | Amazon Redshift | Apache Airflow | Apache Hadoop | Apache Kafka | Apache Spark | Azure | Azure Data | Azure Data Factory | Batch Processing | CI/CD | Cloud platform | Data Architecture | Data Engineering | Data Factory | Data Governance | Data Lake | Data Lake Architecture | Data Lakes | Data Modeling | Data Pipelines | Data Processing | Data Quality | Data Warehouses | DevOps | Dimensional Modeling | Distributed data | Distributed data processing | ELT | ETL | Google BigQuery | Google Cloud | Google Cloud Platform | Infrastructure as Code | Java | Pipeline Optimization | Python | Real Time | Real-time Processing | SQL | Scala | Time processing | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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