Senior Data Engineer
Tasks
- Analyze data
- Build data processing jobs
- Build reports and dashboards
- Debug DAG failures
- Design data models
- Develop data pipeline solutions
- Ensure data quality, consistency, and reliability
- Gather requirements
- Generate data visualizations
- Implement data validation and cleansing
- Implement dbt models
- Monitor and automate data pipelines
- Optimize pipeline performance
- Orchestrate workflows with Airflow
- Perform exploratory data analysis
- Recommend adoption of new technologies
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Airflow | Automation | Azure | Azure Databricks | CI/CD | DAG Debugging | DBT | Data Cleansing | Data Lake | Data Modeling | Data Validation | Data Warehouse | GCP | PySpark | Python | SQL
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Information Technology
Roles
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