Big Data Developer
Tasks
- Collaborate with fraud risk compliance and downstream application teams
- Design realtime and batch fraud analytics data pipelines
- Develop ETL workflows for customer transaction and risk datasets
- Ensure data quality traceability and audit readiness
- Generate alert data and support downstream analytics and investigations
- Monitor and troubleshoot production data pipelines
- Optimize pipeline performance for low latency fraud use cases
- Process streaming transaction data using Apache Spark and Kafka
Perks/Benefits
- Company holidays
- Employee assistance program
- Life and disability insurance
- Medical, dental, and vision coverage
- Paid time off
- Retirement savings plan
Skills/Tech-stack
Airflow | Amazon Web Services | Apache Spark | Azure | Cassandra | HBase | HDFS | Hadoop | Hive | Java | Kafka | Linux | MongoDB | Oozie | Python | SQL | Scala | Unix | Web Services
Education
N/A
Roles
Big Data Developer | Data Developer | Data Engineer | Developer | Engineer
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