Data Engineering Professional II
Tasks
- Build ETL workflows
- Collaborate cross-functional teams
- Develop data pipelines
- Implement data observability
- Lead implementation and guide teams
- Monitor pipeline performance
- Optimize data infrastructure
- Publish data quality metrics
Perks/Benefits
- Bereavement leave
- Broad learning platforms
- Continuous training
- Employee assistance program
- Employee referral program
- Healthcare insurance
- Hybrid work
- Maternity leave
- No meeting days
- Paternity leave
Skills/Tech-stack
Algorithms | Apache Airflow | Apache Kafka | Apache Spark | Data Architecture | Data Lakes | Data Observability | Data Quality | Data Warehousing | ETL | Java | Life Sciences | Python | Scala
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology
Roles
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