Principal Data Engineer
Cintel Inc. · Princeton, New Jersey
The role
This role involves developing and maintaining scalable data pipelines and API integrations to handle increasing data volume and complexity. The engineer will collaborate with analytics and business teams to improve data models, implement data quality monitoring, and define company data assets. The position also includes designing data integrations, evaluating data lineage tools, and developing long-term data platform architecture strategy.
- Location
- Princeton, New Jersey
- Level
- Principal
What we know that the posting doesn’t say
- Seen todaystill listed on the employer’s careers page
What you would do
- Develop and maintain scalable data pipelines
- Build new API integrations for data volume growth
- Collaborate with analytics and business teams on data models
- Improve data models for business intelligence tools
- Implement data quality monitoring systems
- Write unit and integration tests
Must have
- Develop and maintain scalable data pipelines
- Build new API integrations
- Collaborate with analytics and business teams
- Improve data models for BI tools
- Implement data quality monitoring
- Write unit/integration tests and document work
- Perform data analysis for troubleshooting
- Work with cross-functional engineering teams
- Define data assets and models
- Create Spark, SparkSQL, and HiveSQL jobs
- Design data integrations and quality framework
- Evaluate data lineage tools
Key skills
- spark
- sparksql
- hivesql
- api
- data pipelines
- data modeling
- data quality
- data lineage
- business intelligence
- data integration
Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity. Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering…
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