Senior DataOps Engineer
Tasks
- Build and manage ETL processes
- Check status of data jobs
- Collaborate with data engineering and business teams
- Communicate data project progress with stakeholders
- Conduct data verification and integrity checks
- Develop data management policies
- Enforce data governance
- Implement data security measures
- Maintain data accuracy consistency and security
- Monitor data pipelines
- Monitor data system availability and performance
- Perform data reconciliations
- Run data audits
- Support regulatory compliance audits
- Troubleshoot data pipeline issues
Perks/Benefits
- Career growth opportunities
- Corporate events
- Language course support
- Medical insurance
- Office snacks and refreshments
- Paid annual vacation
- Paid sick leave
- Sports package
- Team-building activities
Skills/Tech-stack
AWS | Amazon Redshift | Apache Airflow | Apache NiFi | Cloud platform | Data Governance | Data Quality | Data Security | ETL | Google BigQuery | Google Cloud | Google Cloud Platform | Microsoft Azure | Power BI | Python | SQL | Snowflake
Education
N/A
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