Senior Lead Data Engineer - Databricks
USD 180K-248K (estimate) Senior-level Full Time
Tasks
- Build batch and streaming data pipelines
- Design data warehouses and lakehouses
- Design scalable data engineering solutions
- Develop Delta Lake solutions
- Develop and maintain lakehouse architectures
- Establish CI/CD pipelines
- Implement ETL/ELT pipelines
- Implement data governance and security
- Implement devops practices
- Lead architecture and solution design
- Manage metadata using Purview
- Mentor junior data engineers
- Optimize Spark workloads
Perks/Benefits
- Career advancement opportunities
- Employment referral program
- English language development courses
- Interest-free loans
- Medical insurance
- Overtime program
- Social insurance
- Technical development courses
Skills/Tech-stack
ADLS Gen2 | Active Directory | Apache Spark | Azure | Azure Active Directory | Azure Data | Azure Data Factory | Azure DevOps | Azure Event | Azure Event Hubs | Azure Functions | Azure Key Vault | Azure Synapse | Azure Synapse Analytics | CI/CD | Caching | Data Factory | Data Governance | Databricks | Databricks SQL | Delta Lake | Delta Live Tables | Delta Live) | Dimensional Modeling | ELT | ETL | Entra ID | Event Hubs | Git | Joins | Kafka | Key Vault | Lakehouse Architecture | Medallion Architecture | Microsoft Entra | Microsoft Entra ID | Microsoft Purview | Partitioning | Performance optimization | PySpark | Python | SQL | Snowflake | Spark Performance Optimization | Structured Streaming | Synapse Analytics | Unity Catalog
Education
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