Cloud Data Engineer
Tasks
- Aggregate and structure structured and unstructured data
- Cleanse anonymize crypt and mask sensitive data
- Create data quality KPI
- Handle null values and outliers
- Implement batch and real-time data pipelines
- Ingest data into relational and non relational storage
- Integrate machine learning models for scalable parallel execution
- Operate data platforms in cloud on premises and hybrid environments
- Perform data acquisition processing and transformation
- Prepare datasets for machine learning data visualization and business intelligence
- Schedule and automate model execution
Perks/Benefits
- Checkups
- Health insurance
- Paid time off support
- Remote work flexibility
- Ticket restaurant
- Training and development programs
- Welfare plan
- Work-life balance programs
Skills/Tech-stack
Batch Processing | Big Data | Cloud Data | Cloud Data Engineering | Data Engineering | Data Governance | Data Lake | Data Modeling | Data Pipelines | Data Quality | Data Warehouse | Data mesh | Data virtualization | ELT | ETL | Google BigQuery | Graph Databases | Hadoop | Java | MongoDB | NoSQL | Parallel Computing | Python | R | REST API | Real Time | Real-time Processing | Redis | Ruby | SQL | Time processing
Education
N/A
Roles
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