Description

Position Description:

This role is hybrid and requires you to be in our downtown Toronto office (250 Yonge Street) / client office 3 times per week – subject to change at any time.

As a Data Test Engineering Consultant must have strong technical capabilities and good knowledge of the coding languages commonly used in ETL development, SQL , Python/PySpark, BigQuery and Data warehousing Concepts. You should have knowledge on quality engineering around data strategy & governance, test design & implementation, troubleshooting for bugs and errors and finding solutions of ETL Development. Extensive experience in solving complex technical problems and troubleshooting is must.

Disclaimer: “Use of the term ‘engineering’ in this job posting refers to the technical sense related to Information Technology (IT) and does not imply that the individual practices engineering or possesses the requisite license as prescribed by the applicable provincial or territorial engineering regulator. We are seeking individuals with expertise in IT engineering-related functions, but licensure from an engineering regulator is not a prerequisite for this position. Engineering is a regulated profession in Canada which is restricted in terms of use of titles and designation. “

Your future duties and responsibilities:

1. 5+ Years of Software Quality Assurance experience on enterprise level applications which includes Datalake, Warehouse Testing.
2. Experience in writing complex SQL queries, 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.
3. Should have experience testing multiple test phases in medium to large projects.
4. Understanding of information governance principles and how they could apply in a testing capacity.
5. Should have adequate experience and clear understanding of datalake, warehouse and data mart testing.
6. Identification and Test Data Preparation Techniques.
7. Ability to transform complex Business logic into SQL or PL/SQL queries.
8. Thorough knowledge of Software Test Life Cycle, Test Case Life Cycle, Defect Life Cycle etc.
9. Creating requirements traceability matrix (RTM)
10. Proficiency with Test Case Preparation and Execution.
11. QA Automation Test tools expertise
12. Extensive exposure to ETL testing with high-level of SQL skills is required.
13. Should have exposure to large data sets and understand Data Quality Framework.
14. Experience in data analysis, including profiling, auditing, balancing, and reconciliation, in an Information technology operating environment.
15. Defect tracking experience (i.e., Jira, Zephyr etc.)
16. Experience in tuning SQL queries, Stored Procedures, Views, etc. for performance improvements
17. Should be detail oriented with analytical mind set.
18. Knowledge of data models and entity relationship diagrams.
19. Must have the ability to multi-task and adapt quickly to changes while maintaining urgency in completing assigned tasks.

Required qualifications to be successful in this role:

1. 5+ years of work experience in data ingestion, ETL testing, data integrity testing and Cloud testing
2. Proficiency in SQL, BigQuery, Python/Pyspark and any data platform
3. Knowledge on Airflow DAG, Cloud composer, Looker studio or similar
4. Working experience with Cloud data platform (GCP preferred, AWS or Azure as optional)
5. Strong ability to analyze the business and user requirements and translate them into testing deliverables such as testing data, SQL query and validate expected results.
6. Working knowledge on JIRA, Confluence and test management tools like Zephyr is mandatory
7. Good communication and interpersonal skills to interact with different stake holders
8. Experience working in Onshore – offshore model
#LI-GS!

Use of the term ‘engineering’ in this job posting refers to the technical sense related to Information Technology (IT) and does not imply that the individual practices engineering or possesses the requisite license as prescribed by the applicable provincial or territorial engineering regulator. We are seeking individuals with expertise in IT engineering-related functions, but licensure from an engineering regulator is not a prerequisite for this position. Engineering is a regulated profession in Canada which is restricted in terms of use of titles and designation.

Skills:

Azure Data Lake
Azure SQL Data Warehouse
ETL
Google Cloud Platform
Jira
Python
SQL

What you can expect from us:

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

At CGI, we recognize the richness that diversity brings. We strive to create a work culture where all belong and collaborate with clients in building more inclusive communities. As an equal-opportunity employer, we want to empower all our members to succeed and grow. If you require an accommodation at any point during the recruitment process, please let us know. We will be happy to assist.

Come join our team—one of the largest IT and business consulting services firms in the world.