Senior Data Engineer
Tasks
- Architect data platforms
- Build distributed data processing systems
- Collaborate with Agile stakeholders
- Deploy cloud-native data solutions
- Design scalable data pipelines
- Develop ETL/ELT pipelines
- Ensure data governance and reliability
- Implement data modeling and database design
- Maintain data engineering lifecycle
- Set up batch processing and streaming pipelines
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Apache Spark | Azure | CI/CD | Cassandra | Cloud platform | Data Modeling | Data Warehousing | Databricks | DevOps | Distributed Computing | Docker | ELT | ETL | Git | Google Cloud | Google Cloud Platform | Helm | Infrastructure as Code | Java | Kafka | Kubernetes | MongoDB | MySQL | Oracle | PostgreSQL | Python | SQL | SQL Server | Scala | Snowflake | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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