Senior Data Engineer
Tasks
- Architect cloud-native data platforms
- Architect enterprise data platforms
- Build Lakehouse architectures
- Build infrastructure as code with Terraform
- Configure Unity Catalog and role based access controls
- Design data pipelines
- Develop Spark applications for batch and real time processing
- Implement CI/CD pipelines
- Implement ETL and ELT frameworks
- Implement data governance frameworks
- Implement data quality validation testing and monitoring
- Integrate data from APIs and streaming sources
- Lead architecture reviews and code reviews
- Manage metadata lineage and observability
- Mentor and coach data engineers
- Optimize cloud infrastructure performance reliability security and cost
- Partner with client stakeholders on technical strategy
Perks/Benefits
Skills/Tech-stack
AWS | Access Control | Airflow | Apache Spark | Azure | CI/CD | Cloud platform | DBT | Data Governance | Data Lineage | Data Quality | Databricks | Databricks SQL | Delta Lake | Delta Live Tables | Delta Live) | Docker | ELT | ETL | Event Hubs | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kafka | Kinesis | Kubernetes | Lakehouse | MLflow | Metadata Management | Python | Role-Based Access | Role-Based Access Control | SQL | Snowflake | Terraform | Unity Catalog | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer | Senior Data Engineer
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