Manager, Data Engineering
Tasks
- Build and scale data pipelines
- Coordinate roadmap planning and resource allocation
- Enable machine learning and AI data workloads
- Ensure data quality and performance
- Implement data modeling best practices
- Improve engineering processes and documentation
- Lead data engineering team
- Maintain cloud data platform
- Manage data governance and compliance
- Manage pipeline orchestration and testing
- Monitor observability for data systems
- Oversee data ingestion and transformation
- Set production SLAs for data processes
- Support BI reporting
Perks/Benefits
- Accidental insurance
- Maternity leave
- Medical insurance
- Paid time off
- Paternity leave
- Public holidays
- Term insurance
- Wellness day
- Work from home allowance
Skills/Tech-stack
AI | Azure | Azure Data | Azure Data Lake | Azure Data Lake Storage | Business Intelligence | Code review | Cost Optimization | Data Engineering | Data Governance | Data Ingestion | Data Lake | Data Lake Storage | Data Modeling | Data Observability | Data Pipelines | Data Quality | Data Transformation | Data Warehouse | Databricks | Distributed Computing | GDPR | Lakehouse | Machine Learning | Monitoring | Performance Management | Pipeline Orchestration | SLAs | SQL | Security and Compliance
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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