Senior Data Engineer
HKD 101K-130K (estimate) Senior-level Full Time
Tasks
- Build data lakehouse architectures
- Build data warehousing solutions
- Conduct code reviews and technical troubleshooting
- Define project scope and delivery timelines
- Design batch and real-time data pipelines
- Enforce data governance and quality controls
- Estimate workload and effort
- Implement ETL and ELT processes
- Implement data ingestion, cleansing, and transformation
- Lead engineering best practices and platform optimization
- Manage project delivery from architecture through deployment
- Mentor and coach data engineers
- Translate business requirements into technical solutions
Perks/Benefits
Skills/Tech-stack
Apache Spark | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Databricks | Azure SQL | Azure Synapse | Data Cleansing | Data Factory | Data Governance | Data Ingestion | Data Lake Storage | Data Lakehouse | Data Quality | Data Transformation | Data Warehousing | Data orchestration | DataWorks | Databricks | Dimensional Modeling | ELT | ETL | FineBI | Hologres | Kimball | MaxCompute | Oracle | PostgreSQL | Power BI | PySpark | SQL Server | Spark SQL
Education
Roles
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