Job Role : AWS Data Engineer
- Knowledge of Python Programming language
Knowledge of Data Processing using Pandas Library- Extensive knowledge of processing CSV, Excel, JSON, YAML files using Python
Good knowledge of Big data technologies: PySpark, Hadoop, Hive
- Knowledge of AWS services: S3, Lambda, Redshift, Glue
Hands-on experience with Apache Airflow for building workflows- Knowledge of building ETL and Data pipelines
Experience: 5+ years
Job Type: Full-time
Pay: 2,000,
- 00 - 3,000,000.00 per year
Schedule: - Day shift
Fixed shift Morning shift
Experience:
Pandas: 4 years (Preferred)- Airflow: 4 years (Preferred)
ETL: 4 years (Preferred)
- Data Pipeline: 4 years (Preferred)
* Python: 4 years (Preferred)
Work Location: In person
