Data Engineer
Tasks
- Administer Databricks notebooks clusters jobs and pipelines
- Apply DataOps practices
- Create reusable project documentation
- Design and build data pipelines
- Design data architecture and data modeling
- Design scalable batch solutions
- Design scalable streaming solutions
- Develop data processing tools
- Implement CI CD for data environments
- Implement data ingestion with Kafka
- Implement devops practices
- Integrate structured data
- Integrate unstructured data
- Manage data infrastructure
- Migrate data from on-prem to cloud
- Optimize data workflows
- Perform data transformations
- Provide training and knowledge transfer
- Support project estimation and risk management
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Apache Spark MLlib | Apache Spark SQL | Azure | CI/CD | Cloud platform | Data Architecture | Data Modeling | DataOps | Databricks | DevOps | Google Cloud | Google Cloud Platform | Kafka | MapReduce | PySpark | PyTorch | Python | Scala | Spark MLlib | Spark SQL | Spark Scala | Spark Streaming | Spark-core | Streamsets | TensorFlow
Education
Roles
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