Manager
Tasks
- Architect real-time data pipelines
- Build scalable data pipelines
- Collaborate with data scientists and stakeholders to define data requirements
- Create customer level unified data views for fraud decisioning
- Detect data anomalies
- Develop data ingestion and transformation workflows
- Implement data validation and quality checks
- Orchestrate data jobs and automation
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Apache Hadoop | Apache Spark | Cypher | Data Ingestion | Data Pipelines | Data Quality | Data Transformation | Data Validation | Data orchestration | Graph Databases | HBase | Hive | Monitoring | Near-Real-Time data | Near-real-time | PySpark | Python | Real Time | Real-time Data | SQL | Scheduling | Workflow Scheduling
Education
Roles
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