Principal Data Engineer (Java/Spark)
Tasks
- Architect data frameworks and pipelines
- Build streaming and batch data pipelines
- Collaborate with stakeholders to deliver data solutions
- Design data platform architecture
- Develop scalable data products
- Ensure data quality and integrity
- Implement MDM solutions
- Improve data utilization and performance
- Mentor engineering teams
- Support production deployments
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS Glue | AWS Lake Formation | Amazon Redshift | Amazon S3 | Angular | Apache Beam | Apache Flink | Apache Kafka | Apache Spark | Data Compliance | Data Governance | Data Lakes | Data Quality | Data Warehousing | ETL | IBM DataStage | Java | Lake Formation | MDM | Microservices | Python | React | SQL | Scala | Spring Boot | Talend
Education
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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