Data Engineer
Tasks
- Build ETL/ELT workflows
- Deliver model ready datasets
- Design scalable data pipelines
- Ensure compliance with data privacy and security requirements
- Ensure data quality, reliability, and availability
- Implement Lakehouse architecture
- Implement data models and architecture standards
- Ingest transform and load batch data
- Ingest transform and load real time data
- Monitor pipeline performance and troubleshoot production issues
- Perform code reviews
- Support data governance metadata management lineage tracking
Perks/Benefits
- Career certifications access
- Collaborative culture
- Continuous learning
- Hybrid work model
- Training opportunities
Skills/Tech-stack
Agile | Apache Kafka | Azure Data | Azure Data Services | Azure Databricks | Azure Event | Azure Event Hubs | Azure Purview | CI/CD | Data Governance | Data Ingestion | Data Lineage | Data Modeling | Data Quality | Data Security | Data Services | Data Systems | Data Transformation | Data loading | Delta Lake | Distributed data | Distributed data systems | ELT | ETL | Event Hubs | Infrastructure as Code | Lakehouse | Metadata Management | Python | SQL | Unity Catalog | “as-code”
Education
N/A
Roles
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