
Data Scientist
1 day ago
Welcome to a role that unleashes your analytical expertise in the realm of Big Data
About This OpportunityAs a seasoned Data Analyst with a knack for Big Data technologies, you'll have the chance to develop and maintain large-scale data processing pipelines using PySpark. You'll also design and implement efficient data warehousing solutions using Hive.
- Key Skills:
- PySpark: Develop complex data pipelines leveraging its power.
- Hive: Design robust data warehouses for business intelligence.
- Desirable Qualifications:
- Spark: Harness real-time data processing capabilities.
- HBase: Implement NoSQL database solutions for scalability.
- DQ tool: Ensure data quality through cleansing and validation.
- Agile Scrum experience: Apply iterative development methodologies.
- Data ingestion: Excel in integrating disparate data sources.
- A minimum of 6-12 years of experience in Big Data analytics.
This is an exceptional opportunity to grow professionally and personally, working on challenging projects that drive business outcomes.
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