Data Engineer II
Tasks
- Build data pipelines
- Collaborate with stakeholders
- Develop PySpark notebooks
- Develop data warehouse systems
- Diagnose data pipeline issues
- Ensure data quality and integrity
- Follow SDLC
- Implement Data Modelling
- Maintain data pipelines
- Manage Workday integrations
- Manage code in Workday environment
- Manage incident management
- Manage release management
- Optimize SQL queries
- Perform data transformations
Perks/Benefits
- Healthcare benefits
- Hybrid work environment
- Internal mobility
- Onboarding training
- Paid parental leave
- Paid time off
Skills/Tech-stack
Amazon Web Services | Apache Spark | Azure | Bitbucket | Data Modelling | Data Quality | Data Transformation | Data integration | Databricks | GitHub | Hadoop | Hive | Jira | PySpark | SQL | Salesforce | Web Services | Workday Studio
Education
N/A
Roles
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