Senior Data Engineer
Tasks
- Architect data platforms
- Collaborate in agile development
- Deploy cloud-native data solutions
- Design data models
- Design scalable data pipelines
- Develop ETL/ELT pipelines
- Implement data warehousing solutions
- Maintain governed data platforms
- Manage data-lake systems
- Optimize database queries
- Perform root cause analysis
- Support batch processing pipelines
- Support streaming data pipelines
- Troubleshoot data processing issues
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Apache Kafka | Apache Spark | Azure | Batch Processing | CI/CD | Cassandra | Cloud platform | Data Governance | Data Lakes | Data Lineage | Data Modeling | Data Quality | Data Warehousing | DataOps | Databricks | Dimensional Modeling | Docker | ELT | ETL | Git | Google Cloud | Google Cloud Platform | Helm | Infrastructure as Code | Java | Kubernetes | Metadata Management | MongoDB | MySQL | NoSQL | Oracle | PostgreSQL | Python | Relational databases | SQL | SQL Server | Scala | Snowflake | Snowflake Schema | Star Schema | Streaming Data | Terraform | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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