Data Engineer
Tasks
- Build data pipelines
- Collaborate with stakeholders
- Deliver data solutions
- Design data pipelines
- Enhance analytics capabilities
- Ensure Data reliability
- Ensure data compliance
- Ensure data performance
- Ensure data scalability
- Ensure data security
- Extract transform load data
- Implement ETL/ELT pipelines
- Implement data platform solutions
- Manage data architectures
- Monitor data pipelines
- Optimize data workflows
- Perform data modeling
- Recommend data quality improvements
Perks/Benefits
- Flexible working hours
- Health and wellness benefits
- Learning and development culture
- Parental leave
- Retirement planning
- Service Recognition Programs
- Social events
- Work from home flexibility
Skills/Tech-stack
Azure Fabric | CI/CD | DBT | Data Modeling | Data Vault | Databricks | DevOps | Dimension tables | ELT | ETL | Fact tables | Grain | Hadoop | Kafka | Medallion Architecture | Python | Real Time | Real-time Ingestion | SQL | Schema Design | Snowflake | Spark
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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