Data Engineer - AWS Glue
Tasks
- Apply DataOps practices
- Design data pipelines
- Develop data pipelines
- Ensure data quality testing and validation
- Implement data monitoring and alerting
- Implement data transformations
- Integrate data sources
- Maintain data pipeline documentation
- Maintain data pipelines
- Monitor data pipeline performance
- Orchestrate workflows using Apache Airflow
- Perform ETL using Python
- Perform ETL using SQL
- Troubleshoot data pipeline issues
Perks/Benefits
- Counseling sessions
- Health and family insurance
- Hybrid work mode
- Maternity leave
- Meditation sessions
- Paid leaves
- Paternity leave
- Professional development and mentorship
- Wellness sessions
Skills/Tech-stack
AWS Glue | Amazon Athena | Amazon Redshift | Amazon S3 | Apache Airflow | Apache Hadoop | Apache Hive | Apache Spark | DataOps | ETL | Kafka | Python | SAP HANA | SQL | Snowflake
Education
N/A
Roles
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