Database & Data Engineering Specialist (Python) (Hybrid)
Montreal 700, Canada
R
CAD 94K-141K (estimate) Senior-level Full Time
Tasks
- Build parallel data processing pipelines
- Build push down optimization
- Create secure database capabilities
- Design automation and tooling for data engineering
- Design database solutions
- Develop ETL pipelines
- Develop multi cloud database platforms
- Enforce data governance and reliability
- Generate and manipulate DDL
- Implement Change Data Capture
- Implement ELT
- Implement database access management
- Implement error handling and resource management
- Improve observability and cost efficiency
- Manage database backup and restore
- Modernize systems and standardize platforms
- Optimize data movement
- Optimize data processing for specific database platforms
- Partition and cluster datasets
- Process data with Apache Spark
- Set up streaming data replication
- Support time travel
Perks/Benefits
Skills/Tech-stack
Apache Spark | Azure SQL | Backup and Restore | Change Data Capture | Clustering | Concurrency | DB2 | DDL | Data Capture | Database Backup | Database backup and restore | Database performance | Database performance tuning | Database security | ELT | ETL | IBM DB2 | Informatica | Java | Kafka | Microsoft SQL | Microsoft SQL Server | MongoDB | Oracle Database | Partitioning | Performance Tuning | PostgreSQL | Python | Replication | SQL | SQL Server | Shell | Snowflake | Streaming | Talend | Teradata | Time Travel
Roles
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