PP - Data Engineer - 175
Tasks
- Architect scalable data pipelines
- Build and maintain ETL workflows
- Diagnose and resolve data issues with root cause analysis
- Gather data requirements from stakeholders
- Implement automated data quality checks
- Maintain documentation for pipelines and system architecture
- Mentor junior data engineers
- Monitor and optimize data system performance
- Optimize data infrastructure cost efficiency
- Participate in design and code reviews
- Translate requirements into technical specifications
Perks/Benefits
- N/A
Skills/Tech-stack
Automation Testing | Data Modeling | Data Warehousing | ETL | PySpark | Python | Relational databases | SQL | Shell Scripting | Spark | Unix/Linux
Education
Roles
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