Manager, Data Engineering
Tasks
- Build and operate cloud data platform
- Define and manage data process SLAs
- Drive data quality governance and compliance
- Ensure reliable data ingestion and transformation
- Establish data testing monitoring and observability
- Implement data modeling and pipeline best practices
- Improve engineering processes documentation and deployment practices
- Manage and develop data engineering team
- Oversee scalable data pipelines
- Plan roadmap resource allocation and prioritization
- Support BI analytics and machine learning workloads
Perks/Benefits
- Accidental insurance
- Maternity leave
- Medical insurance
- Paid leave
- Paternity leave
- Public holidays
- Term insurance
- Wellness day
- Work from home allowance
Skills/Tech-stack
Artificial Intelligence | Azure | Azure Data | Azure Data Lake | Azure Data Lake Storage | Business Intelligence | Cost efficiency | Data Engineering | Data Governance | Data Lake Storage | Data Modeling | Data Pipelines | Data Processing | Data Quality | Data Testing | Data Transformation | Data Warehouse | Databricks | Distributed data | Distributed data processing | GDPR | Lakehouse | Machine Learning | Monitoring | Observability | Pipeline Orchestration | SOC2 | SQL
Education
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