Data Engineer - Global Team
Tasks
- Build end-to-end data pipelines
- Collaborate with stakeholders
- Create AI ready analytical datasets
- Design data modeling best practices
- Develop scalable data processing solutions
- Establish data engineering standards
- Maintain data engineering tools and frameworks
- Optimize pipeline reliability and performance
- Translate business requirements into data workflows
- Troubleshoot data pipeline issues
Perks/Benefits
- Career growth opportunities
- Employee-focused programs
- Flexible working hours
- Learning and development support
- Parental leave
- Remote work
- Team events
- Vacation time
Skills/Tech-stack
Airflow | DBT | Data Architecture | Data Modeling | Data Quality | Data pipeline | Data pipeline optimization | Databricks | Delta Lake | ETL | Pipeline Optimization | PySpark | SQL | Snowflake | Spark
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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