Senior Data Engineer
Tasks
- Architect cloud-native data platforms
- Build data products for analytics and operational workflows
- Contribute to architecture decisions and design reviews
- Design and build batch and real-time data pipelines
- Develop ETL ELT frameworks and data models
- Ensure data governance security observability and reliability
- Implement data quality monitoring
- Mentor junior engineers
- Optimize data storage query performance and scalability
- Own technical delivery for customer solutions
- Partner with enterprise customers to define data requirements
Perks/Benefits
Skills/Tech-stack
Apache Spark | Azure Data | Azure Data Services | CI/CD | ClickHouse | Data Catalog | Data Governance | Data Lineage | Data Modeling | Data Processing | Data Quality | Data Services | Data Warehousing | Data quality monitoring | Databricks | Delta Lake | DevOps | Distributed data | Distributed data processing | ELT | ETL | Infrastructure as Code | Infrastructure automation | Metadata Management | Observability | Python | Quality monitoring | Real Time | Real-time Data | Reliability | SQL | Security | Streaming Data | Streaming data processing | Terraform | “as-code”
Education
N/A
Roles
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