AWS Cloud Engineer
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Job Description
"Role Description:
Experience with Cloud Snowflake and AWS(S3) including PostgreSQL DB, SQL Database, DB2, Hadoop (Hive &Impala), Data Mart, and Mongo DB
Must have experience in using ETL Tool informatica Power Center & BDM 8+ Years of Software Quality Assurance experience on enterprise level applications which includes Data Warehouse Testing.
Experience in writing complex SQL queries
Role: AWS Cloud Engineer
Location: Markham, ON | hybrid
Amazon Web Service(AWS) Cloud Computing, Data Warehouse
Location: Markham, ON | hybrid
Amazon Web Service(AWS) Cloud Computing, Data Warehouse
"Role Description:
Experience with Cloud Snowflake and AWS(S3) including PostgreSQL DB, SQL Database, DB2, Hadoop (Hive &Impala), Data Mart, and Mongo DB
Must have experience in using ETL Tool informatica Power Center & BDM 8+ Years of Software Quality Assurance experience on enterprise level applications which includes Data Warehouse Testing.
Experience in writing complex SQL queries
Ability to determine the types of testing that must be conducted (i.e., data validation, regression, etc.), including evaluating the testability of requirements and create a comprehensive test plan that supports the business and technological solutions being delivered.
Should have experience testing multiple test phases in medium to large projects.
Understanding of information governance principles and how they could apply in a testing capacity.
Should have adequate experience and clear understanding of data warehouse and data mart testing.
Identification and Test Data Preparation Techniques.
Ability to transform complex Business logic into SQL or PL/SQL queries.
Thorough knowledge of Software Test Life Cycle, Test Case Life Cycle, Defect Life Cycle etc.
Creating requirements traceability matrix (RTM) and in Jenkins, Zena and Autosys job scheduler.
Proficiency with Test Case Preparation and Execution.? QA Automation Test tools expertise using Python.
Extensive exposure to ETL testing with high-level of SQL skills is required.
Should have exposure to large data sets and understand Data Quality Framework.
Experience in data analysis, including profiling, auditing, balancing, and reconciliation, in an Information technology operating environment.
Defect tracking experience (i.e., Jira, ALM, etc.)? Experience in tuning SQL queries, Stored Procedures, Views, etc. for performance improvements Should be detail oriented with analytical mind set.
Knowledge of data models and entity relationship diagrams.
Must have the ability to multi-task and adapt quickly to changes while maintaining urgency in completing assigned tasks.
Should have experience testing multiple test phases in medium to large projects.
Understanding of information governance principles and how they could apply in a testing capacity.
Should have adequate experience and clear understanding of data warehouse and data mart testing.
Identification and Test Data Preparation Techniques.
Ability to transform complex Business logic into SQL or PL/SQL queries.
Thorough knowledge of Software Test Life Cycle, Test Case Life Cycle, Defect Life Cycle etc.
Creating requirements traceability matrix (RTM) and in Jenkins, Zena and Autosys job scheduler.
Proficiency with Test Case Preparation and Execution.? QA Automation Test tools expertise using Python.
Extensive exposure to ETL testing with high-level of SQL skills is required.
Should have exposure to large data sets and understand Data Quality Framework.
Experience in data analysis, including profiling, auditing, balancing, and reconciliation, in an Information technology operating environment.
Defect tracking experience (i.e., Jira, ALM, etc.)? Experience in tuning SQL queries, Stored Procedures, Views, etc. for performance improvements Should be detail oriented with analytical mind set.
Knowledge of data models and entity relationship diagrams.
Must have the ability to multi-task and adapt quickly to changes while maintaining urgency in completing assigned tasks.
Competencies: Digital : Amazon Web Service(AWS) Cloud Computing, Data Warehouse
Experience (Years): 8-10"
Experience (Years): 8-10"
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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