Senior Data Engineer
3 weeks ago
Requirements
1. Min 6-8 years of professional experience2. Minimum of three years of professional experience with Python3. Professional experience in the field of data (e.g., data science, data engineering, data warehousing)4. Experience with one or more of Spark, Flink, Argo, Hadoop, Airflow, Prefect or Nifi5. Experience with SQL Server architecture (memory management, IO, Backup-Restore mechanisms, High Availability options)6. Experience on DB physical design structures: Table design, data types, Index design, Columnstore Index internals (mandatory), functions, procedures, table partitioning and partition management7. Locking mechanisms8. Query Performance Tuning: familiarity with Extended Events, Query Execution Plans, Query Store and ability to use those to check and improve query performance.9. SQL Server security configuration: Users and logins management, Audit, Certificates management, TDE10. SQL Server Configuration Management: existing options and their meaning11. Familiarity with Prometheus/Grafana stack to monitor MSSQL
Benefits
Health insurance.
Professional development opportunities and continuous learning culture.
Monthly team social outing budget.
Training / Certification benefits.
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