RQ02646 - Systems Analyst – Senior
Duration: 6 months
Start Date – 2022-04-01
End Date – 2022-09-30
Location - Toronto
Must Haves:
· 5+ Years of experience with large volume data quality analysis, data profiling, data masking, transformation & cleansing, data extraction & loading from heterogenous data sources to Cloud
· Experience and knowledge of data migration between different sources/targets on-prem and Cloud, of varying data repository technologies, IMS, DB2, Oracle, SQL Server and Data Lakes
· Developing Sequel (SQL) scripts
· Experience and knowledge with Azure Cloud Computing, Azure Service Model (e.g. IaaS, PaaS) and Azure storage technologies
· Excellent analytical, problem-solving and decision-making skills, verbal and written communication skills, interpersonal and negotiation skills
Description:
A note on Assignment Type: This position is currently listed as "Onsite"; however, the consultant will be remote due to COVID-19 related Work from Home (WFH) direction. Once the I&IT cluster staff are required to return to the office, the resource under this request will be required to work onsite as well.
Deliverables
Task 1
Monthly Performance Status Report
Deliverables
·All deliverables that consultant worked on during past month are included
·Progress and specific accomplishment against the deliverable are described
·Status of consultant’s deliverable compared to the project Baseline
Estimated Completion Date
Monthly
Task 2
Analyze existing PCT data model, data elements and business/data rules, profile the data and identify potential data issues.
Deliverables
·Data analysis and identification of data anomalies requiring data profiling
·Data tokenize and standardization, where necessary
·Profile the data, analyze and document profiling results and data quality issues
·Investigate data issues and communicate potential business operational implications
Estimated Completion Date:
According to the project schedule to be defined by the Project Manager or Technical
Coordinator
Task 2
Provide support and consultation
Deliverables
·Participate in Business, IT and SME review meetings
·Participate in data quality and PCT data migration discussions
Estimated Completion Date:
According to the project schedule to be defined by the Project Manager or Technical
Coordinator
Task 3
Knowledge transfer to Ministry staffs or resources designated by the Ministry
Deliverables
·Documentations
·Walk-through sessions of all the deliverables
Estimated Completion Date
Throughout the project
Skill Set
·5+ Years of experience with large volume data quality analysis, data profiling, data masking, transformation & cleansing, data extraction & loading from heterogenous data sources to Cloud
·5+ Years’ experience with data tokenization, standardization, matching and address validation
·5+ Years’ experience with data quality and ETL technologies, programming and tools such as Informatica Data Quality or OEDQ
·Experience and knowledge with data quality life cycle, data trending, dashboard and reporting with tools such as PowerBI
·5+ Years’ experience with data migration principles and best practices
·Experience and knowledge of data migration between different sources/targets on-prem and Cloud, of varying data repository technologies, IMS, DB2, Oracle, SQL Server and Data Lakes
·Proven experience in developing SQL*Loader scripts, optimized PL/SQL, complex queries with SQL, T-SQL, Unix/Linux scripts (e.g. Perl)
·Experience with Oracle, SQL Server, relational and hierarchical database technologies
·Experience and knowledge with Azure Cloud Computing, Azure Service Model (e.g. IaaS, PaaS) and Azure storage technologies
·Experience with the Application Lifecycle Management (ALM) Tool and DevOps
·Experience and knowledge with Siebel EIM/EAI, OCH, EBS
·Experience working in accordance with policies and procedures of Ontario Public Service
·Excellent analytical, problem-solving and decision-making skills, verbal and written communication skills, interpersonal and negotiation skills
·Ability to work independently and with good quality on concurrent multiple projects
Deliverables
Task 1
Monthly Performance Status Report
Deliverables
·All deliverables that consultant worked on during past month are included
·Progress and specific accomplishment against the deliverable are described
·Status of consultant’s deliverable compared to the project Baseline
Estimated Completion Date
Monthly
Task 2
Analyze existing PCT data model, data elements and business/data rules, profile the data and identify potential data issues.
Deliverables
·Data analysis and identification of data anomalies requiring data profiling
·Data tokenize and standardization, where necessary
·Profile the data, analyze and document profiling results and data quality issues
·Investigate data issues and communicate potential business operational implications
Estimated Completion Date:
According to the project schedule to be defined by the Project Manager or Technical
Coordinator
Task 2
Provide support and consultation
Deliverables
·Participate in Business, IT and SME review meetings
·Participate in data quality and PCT data migration discussions
Estimated Completion Date:
According to the project schedule to be defined by the Project Manager or Technical
Coordinator
Task 3
Knowledge transfer to Ministry staffs or resources designated by the Ministry
Deliverables
·Documentations
·Walk-through sessions of all the deliverables
Estimated Completion Date
Throughout the project
Skill Set
·5+ Years of experience with large volume data quality analysis, data profiling, data masking, transformation & cleansing, data extraction & loading from heterogenous data sources to Cloud
·5+ Years’ experience with data tokenization, standardization, matching and address validation
·5+ Years’ experience with data quality and ETL technologies, programming and tools such as Informatica Data Quality or OEDQ
·Experience and knowledge with data quality life cycle, data trending, dashboard and reporting with tools such as PowerBI
·5+ Years’ experience with data migration principles and best practices
·Experience and knowledge of data migration between different sources/targets on-prem and Cloud, of varying data repository technologies, IMS, DB2, Oracle, SQL Server and Data Lakes
·Proven experience in developing SQL*Loader scripts, optimized PL/SQL, complex queries with SQL, T-SQL, Unix/Linux scripts (e.g. Perl)
·Experience with Oracle, SQL Server, relational and hierarchical database technologies
·Experience and knowledge with Azure Cloud Computing, Azure Service Model (e.g. IaaS, PaaS) and Azure storage technologies
·Experience with the Application Lifecycle Management (ALM) Tool and DevOps
·Experience and knowledge with Siebel EIM/EAI, OCH, EBS
·Experience working in accordance with policies and procedures of Ontario Public Service
·Excellent analytical, problem-solving and decision-making skills, verbal and written communication skills, interpersonal and negotiation skills
·Ability to work independently and with good quality on concurrent multiple projects
Skills
Experience and Skill Set Requirements
Evaluation Criteria
Data Quality and Data Migration Experience
·5+ Years of experience with large volume data quality analysis, data profiling, data masking, transformation & cleansing, data extraction & loading from heterogeneous data sources to Cloud
·5+ Years’experience with data tokenization, standardization, matching and address validation
·5+ Years’ experience with data quality and ETL technologies, programming and tools such as Informatica Data Quality or OEDQ
·Experience and knowledge with data quality life cycle, data trending, dashboard and reporting with tools such as PowerBI
·5+ Years’ experience with data migration principles and best practices
·Experience and knowledge of data migration between different sources/targets on-prem and Cloud, of varying data repository technologies, IMS, DB2, Oracle, SQL Server and Data Lakes
40
ETL, Design and Development Skill and Experience
·Proven experience in developing SQL*Loader scripts, optimized PL/SQL, complex queries with SQL, T-SQL, Unix/Linux scripts (e.g. Perl),
30
Heterogenous Databases, Cloud and Seibel Technologies
·Experience with Oracle, SQL Server, relational and hierarchical database technologies
·Experience and knowledge with Azure Cloud Computing, Azure Service Model (e.g. IaaS, PaaS) and Azure storage technologies
·Experience with the Application Lifecycle Management (ALM) Tool and DevOps
·Experience and knowledge with Siebel EIM/EAI, OCH, EBS
15
Problem Solving and Communication
·Experience working in accordance with policies and procedures of Ontario Public Service
·Excellent analytical, problem-solving and decision-making skills, verbal and written communication skills, interpersonal and negotiation skills
·Ability to work independently and with good quality on concurrent multiple projects
15
If you are available, please send your resume to anisha.agarwal@2iresourcing.ca OR refer someone interested.
Job ID: 61518
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