Junior Data Scientist/data Analyst/Java full stack developer SynergisticIT
San Jose, CA15 days ago
- $82,000–$136,000 Per Year
- Full-time
Highlights
Expertise in handling data across various data sources like HANA, Oracle & others (Real time, Near real time and batch related). • Expertise in identifying data related inconsistencies, gaps and effectively communicate with Data Engineering and Business Teams.
Numbers & Facts
| Location | Santa Clara, CA |
| Industry | Other/Not Classified |
| Company Size | 100 to 499 employees |
Description
JD-
Understand the overall data landscape and knowledge of data science related models
• Analyze the end-to-end data flow from data source to Databricks
• Analyze the existing data model and ETL pipelines related to Databricks.
• Hands on experience in Designing, Developing & Maintaining data model and data Pipelines. Strong understanding of Data warehouse concepts, ETL, Star Schema, data modeling experience
• Experience in mapping business requirements to functional and technical specs, and deliver reports
• Expertise in handling data across various data sources like HANA, Oracle & others (Real time, Near real time and batch related)
• Expertise in identifying data related inconsistencies, gaps and effectively communicate with Data Engineering and Business Teams
• Good knowledge on SQLExperience and Knowledge of Visualization tools"
Understand the overall data landscape and knowledge of data science related models
• Analyze the end-to-end data flow from data source to Databricks
• Analyze the existing data model and ETL pipelines related to Databricks.
• Hands on experience in Designing, Developing & Maintaining data model and data Pipelines. Strong understanding of Data warehouse concepts, ETL, Star Schema, data modeling experience
• Experience in mapping business requirements to functional and technical specs, and deliver reports
• Expertise in handling data across various data sources like HANA, Oracle & others (Real time, Near real time and batch related)
• Expertise in identifying data related inconsistencies, gaps and effectively communicate with Data Engineering and Business Teams
• Good knowledge on SQLExperience and Knowledge of Visualization tools"
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