Job description
- Work with Stakeholders such as Business users, Data Scientists to design & build POC usecase using Databricks Spark & Delta lake components
- Development of Roadmap based on provided strategy for implementing the Streaming Analytics, Aggregation capabilities so that data science team can implement the ML algorithms
- Continuous design, build and extend the framework towards meeting the Data Aggregation and Transformation requirements
- Support Stakeholders in Data lakes, Databricks and integration with ETL toolset.
- Recommend & Implement best practices on Data Ingestion and transformation
Job Type: Full-time
Salary: $60.00 - $65.00 per hour
Schedule:
- Monday to Friday
Experience:
- Databricks and integration: 4 years (Required)
- Data lake: 4 years (Required)
- Data Ingestion and transformation: 4 years (Preferred)
Work Location: Remote
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