Data Engineer - AVP
Building 400-Whippany Campus, Jefferson Park, United States
USD 189K-195K Executive-level Full Time
Tasks
- Build and maintain data pipelines
- Build monitoring and observability solutions
- Build rules driven logic for regulatory applications
- Collaborate on data governance and security
- Collaborate with data scientists on machine learning models
- Conduct code reviews
- Design and develop scalable APIs
- Design and implement data lake solutions
- Design and implement data warehouse solutions
- Develop data ingestion and transformation processes
- Develop data validation frameworks
- Develop processing and analysis algorithms
- Implement error-handling mechanisms
- Lead and mentor engineering team
- Optimize pipeline performance
- Perform logging and alerting
Perks/Benefits
- 401k
- Dental insurance
- Health insurance
- Incentive award
- Life insurance
- Paid time off
- Vision insurance
Skills/Tech-stack
API Development | Apache Kafka | Apache Spark | Bitbucket | Caching | Data Governance | Data Lakes | Data Pipelines | Data Validation | Data Warehousing | GitLab | JUnit | JWT | Java | Kubernetes | Mockito | Monitoring | OAuth2 | Observability | Parallel processing
Education
N/A
Roles
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