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Browse current jobs- Employment type
- Contract
- Posting language
- English
- Location requirements
- Country, Toronto, Ontario, Canada
- Application method
- Apply on LinkedIn (LinkedIn sign-in required)
Job summary
Manage data manipulation and ETL processes using SQL and PL/SQL, and support cloud-based data solutions using AWS. Orchestrate workflows, develop data warehouse models to meet business requirements, and support data quality monitoring and big data processing.
Job details
Strong expertise in SQL and PL/SQL is essential for data manipulation and ETL processes. Proficiency in AWS services is critical for cloud-based data solutions. Experience with Apache Airflow for workflow orchestration is beneficial for managing ETL processes. Experience with data warehousing and modeling is necessary to meet business requirements. Familiarity with data quality checks and monitoring mechanisms is advantageous. Experience with data warehousing and modeling is necessary to meet business requirements. Knowledge of PySpark for big data processing is a plus..
What you’ll do
Manage data manipulation and ETL processes using SQL and PL/SQL, and support cloud-based data solutions using AWS. Orchestrate workflows, develop data warehouse models to meet business requirements, and support data quality monitoring and big data processing.
Requirements
Strong expertise in SQL and PL/SQL and proficiency with AWS are essential. Experience with data warehousing and modeling is necessary; Apache Airflow, data quality monitoring, and PySpark are beneficial or advantageous.
Listed skills
- SQL · Preferred
- Amazon Web Services · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- SQL
- PL/SQL
- AWS
- Apache Airflow
- ETL
- Data Warehousing
- Data Modeling
- Data Quality Checks
- Data Monitoring
- PySpark
- Big Data Processing
Job areas
- Data & Analytics
- Technology
- Software
- Consulting
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