Data Engineer (Elasticsearch + Datawarehousing)
Tasks
- Build and maintain Elasticsearch clusters
- Build and manage Elasticsearch indexes
- Build and optimize data lakes and warehouses
- Create APIs and microservices
- Debug defects and performance bottlenecks
- Design and implement data pipelines
- Gather requirements and translate into technical solutions
- Integrate structured and unstructured data
- Maintain documentation for data systems
- Optimize Elasticsearch for query performance
- Participate in Agile sprint planning and reviews
- Validate cleanse and transform data
- Write integration tests
- Write unit tests
Perks/Benefits
- N/A
Skills/Tech-stack
API | API Development | AWS | Apache Spark | Azure | Cloud platform | Databases | Databricks | ELT | ETL | Elasticsearch | Flask | Git | Google Cloud | Google Cloud Platform | Integration Testing | Linux | Logging | Microservices | MongoDB | MySQL | ORM | Pandas | PostgreSQL | PySpark | Pytest | Python | Redis | Regular Expressions | Requests | SQL | Shell Scripting | Subprocess | Unit Testing
Education
N/A
Roles
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